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BECAUSE MICRO-INNOVATION DOES NOT BRING MACRO-IMPACT

And Macro-Impact requires very special Tech & Talent


"IT ALL STARTED WITH
3 AMBITIOUS QUESTIONS"

WHAT WOULD YOU DO IF YOU HAD DESIGNED ONE OF THE BEST TRADING PLATFORMS IN EUROPE, PRIZED BY THE INDUSTRY?

Would you use it only for trading or would you be slightly more ambitious?

YOU WOULD SIMPLY EXTEND IT TO RISK MANAGERS, DATA SCIENTISTS, SALES/BANKERS AND TECH MANAGERS

NEVERTHELESS...

RISK MANAGERS cannot challenge traders nor algorithms with a tier two technology

DATA SCIENTISTS require a realistic Lab based on trading insights. And they should be able to throw their Python code into it at a minimum effort

SALES need timely recommendations based on sound signals from intraday to long run (standard Recommendation Systems are not enough)

TECH MANAGERS need to know how to efficiently deploy the previous modules within a central, steady architecture

A SET OF PRODUCTS FOR EACH ROLE THAT CAN BE USED ISOLATEDLY OR,
MORE INTERESTINGLY, AS ORCHESTRATED PARTS OF A WHOLE APPROACH.
ALL IN A NON-INVASIVE WAY, THROUGH MIDDLEWARE SOFTWARE
THAT RESPECTS YOUR CURRENT LEGACIES

Algorithmic Trading

TRADING
We bring maximal flexibility to traders (400+ parameters) to flexibly accomodate their ideas

Algorithmic Risk Management

RISK MANAGEMENT
We allow risk managers to create their own algorithmic strategies to stress and control those of the traders real time. Liquidity risk management can be improved through the same architecture

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Financial Data Science

DATA SCIENCE
We provide data scientists a realistic environment for them to isolate their, already complex, Machine Learning challenge

Recommendation Systems

SALES/PRIVATE BANKING
We allow them to crucially enhance their recommendation systems with our market insights

WHAT WOULD YOU DO IF YOU HAD MADE A TIER TWO TAKE OVER THE INDUSTRY THROUGH TECH?

Would you only use your judgement to help Tier Ones protect their edge or would you try to impact the whole industry?

YOU WOULD EMBRACE THE CHALLENGE OF "SCI-ING THE WORLD" ACROSS TIERS, SECTORS (FROM RETAILERS TO MARKETING) AND FINAL CLIENTS (WHETHER B2B OR B2C)

While Tier Ones have well-known competitive advantages, Tier Twos often still have them, but more idiosyncratic and subtle. We can creatively spot those and design a whole strategy to leverage them. Starting from a common Tier Two advantage: no algorithmic legacies - not wrong tech nor culture, yet. 

No matter the sector, the inner nature of all challenges within digitization are quite the same - software design, algorithmization, game theory, change resistance, legacies, impact, governance...

AND WHAT WOULD YOU DO IF YOU HAD ALSO FATHERED AN
A.I. TECHNIQUE THAT UK EPSRC EXPECTS TO BE ONE OF THE MOST IMPACTFUL 
IN THE DIGITAL ECONOMY?

Would you settle for a one-off or would you be slightly more ambitious?

YOU WOULD TRY TO PROVE IT AGAIN FOR REAL. AND AGAIN, AND AGAIN...

Machines can beat humans on many tasks. But humans & machines can beat machines on most of those. We proved it once, within Algorithmic Trading, through our Avatar Calibration - selected by UK EPSRC for its Impact in the Digital Economy (2014). On top, augmenting humans too often leads to an equilibrium that minimizes the expert.  So, why not to accept machines are taking the lead and augment the machines, instead?

We find ways for the experts to inject their expertise and idiosyncrasy within the machines. As a result, not only machines depend on humans going forward but also we design new roles leading to a New Digital Economy: more profitable (doesn't waste the experts' acumen), more meritocratic (easy to filter those who add most value) and more human-friendly. All, underpinned by robust Game Theory equilibria that crucially locks-impact-in

ABOUT US - "WE DO NOT DISRUPT FINANCE. WE ADAPT IT TO THE NEW ERA"

OUR TRACK RECORD OF DOWN-TO-EARTH INNOVATION

In a niche of overlap between Trading, Machine Learning and Technology, credibility is key. And ours is the result of a very focussed, long-run plan. Hence, the industry one way or another, have heard of our co-founders for the last decade.

Here a few highlights of our relentless passion for impact through algorithms from very early days:

2001-2002: ALGORITHMS IN COMMODITIES

Set up one of the first algorithmic trading desks for gas at a commercial company

2005-2009: ALGORITHMS IN FIXED INCOME & EQUITIES

One of the first pioneers to research on the role of bots in Finance (Kyoto University)

Doubled and quadrupled P&L at different trading desks from different Tier One Banks (UE Retail and US Investment Bank)

2010-2017: INNOVATION IN THEORY & PRACTICE

Entered the first cohort of the UK PhD Center for Financial Computing.

Renaissance Technologies' CEO in Europe became the PhD Thesis' Industry Advisor (first PhD student)*

The Thesis was applied for real at a Tier Two bank - our "sandbox". We took them from manual trading onto the Frontier of Knowledge within 5 years. Against all odds, its algorithmic architecture got the prize to the best trading platform in Europe. Similartly, its novel approach to A.I., Avatar Calibration (the first example of Augmented Machines) was selected by UK EPSRC for its major impact in the Digital Economy

Succeeded on the first cross-asset algorithmic transformation of the sell-side. Now, best-practice of the industry

(*) Our Tech is based on the PhD Thesis but not linked to University College London nor Renaissance Technologies

2017-2019: SW's PRODUCTS CREATION

Even though SW was created in 2015, it wasn't until 2017 that we focused on creating our own digital asset

We started helping corporates and supranational agents around the world - digital transformation, algorithms, high frequency trading policies...

Set out the first autonomous machine in production at a business (statement from a BigTech)

Set out the first augmented machine in production

Set out the first algorithmic risk strategy that can be sent on-the-fly to supervise algorithmic trading strategies real time

2020-PRESENT: EXPLOITATION

Growing Finance and seeding other industries

Achieving ambitious KPIs

Sharing our discoveries with the industry: from services like trA.I.ning to professional events (GARP, CFA, ICMA)  

Pioneering Responsible Innovation: from setting out a business model strong on success fees to training our team through facing the markets with our own money via FUNd

OUR CO-FOUNDERS

They have the vision and the business accumen behind this niche boutique

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MARTA DÍEZ-FERNÁNDEZ
· CEO & Co-CTO ·

MRes @UCL Computer Science. Holds several honors as #womenintech and #entrepreneurship

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SERGIO ÁLVAREZ-TELEÑA
· CIO & co-CTO ·

PhD and Hon.Sr Researcher @UCL CS. Sr Advisor to tier one companies. Holds several industry and academic honors

ADVISORY TEAM


Hand-picked to add value where they outstand the most.

We are very proud of having lurred these tier one, orthogonal professionals into our ambitious project

Sr Lawyer. Father to the "Right to be Forgotten" on internet. European Data Protection Officer

Goya awarded film director. Frequent visual content creator for banks on the A.I. space, and marketing expert

Sr Fellow Harvard. Strategy consultant. Political advisor. Diplomat. Fmr CEO Women's World Bank.Artist. Buddhist

Sr Trader across assets. Former Global Head of Equities at BBVA Global Markets, and CIO of BBVA Asset Management

Computer Scientist. Professor at University College London. Founder of the UK Centre for Financial Computing & Analytics

Sr lawyer. Named "Cornerstone in Spain's Maritime Law" by Chambers Europe. Former General Secretary at Duro Felguera

FINANCIAL PRODUCTS

We have passion for the, probably, most challenging of all algo domains

portfol.io

Filter the elements in your portfolio based on facts just as the most advanced big data providers would - whether from structured or unstructured data. And do not settle for that. Further filter by:
a) Signals: ours/yours or 3rd party’s signals - from traditional to algorithmic, inherited from inSCIghts; b) Simulation: your views on your desired performance of each element and the portfolio overall upon feasible scenarios when combined with FLY

FLY

On-the-fly macro simulation. Smart shortcut to allow for many scenario views before committing to trading a portfolio - not as precise as those produced by our VR Sandbox but handy enough for most Low Frequency Trading.

It leverages Big Data along with Online Machine Learning

W8s

Set out the weights in your portfolio based on our free samples (from equal weight to percentage of volume) to our proprietary methodologies (e.g. black swan) through any of your own (DIY) or a 3rd party. Whether static/passive or dynamic/active (considering benefits vs market impact and costs). Whether on a basic Backtest or within our VR Sandbox for you to control all the range of risks from low frequency trading to intraday. Start orthogonal strategies by mixing it with Fractal’s capabilities

FRACTAL

Highly fine-tunable Algo Trading engine for your traders to materialize their complex ideas. No coding skills required. Focused on non-latency sensitive strategies. Capable to onboard latency-sensitive ones. It reaches execution, market making and prop trading. Seamless integration with most trading buses, brokers and data providers

inSCIghts

A.I.-driven, trading and risk, proprietary indicators. Any party's IP - whether your model, ours or even our own competitors' (we see them as partners). Any type of asset: equities, fixed income, commodities, currencies and cryptocurrencies. Any type of data: quotes, geo-localized/imaginary, social... Whether their signals lead to high frequency quotes dynamics or a mere email/report

CENTROID

Trading floors nowadays require a suite of state-of-the-art strategies, in the shape of a Central Risk Book. This piece, scans all flow coming in and out of the books (whether occurring or expected) and eventually takes it to benefit from orthogonal hedges across desks (and assets) or to reduce market footprint in execution (crucial to give a tier one service to large clients)

ALGO RISK STRATS

New breed of controls and actions for each line of defense (LOD): 1, 1.5, 2 and ours, 3. Leverage Advanced Trading Technology across assets. Whether manual actions or systematic

When used to improve your Operational Risk, they can be discounted from your capital requirements under Basel III

Similar approach for back office liquidity management strategies

BLACKBOX-ING

Leverage trading tech to audit traders' algorithmic black-boxes. Whether by yourself (2LOD), by ourselves (3LOD) or, better, by both

Inspired by our experience in Red Teams of Cybersecurity

Stronger when combined with VR Sandbox

BLIND

Make sure your data scientists comply effortless with local regulation when querying data

VR SANDBOX

Backtesting is not realistic. First, the past is just one of the myriad of instances that could have happened, hence not that relevant by itself. Second, it assumes the rest of the agents would not react to your actions. Design, test and calibrate new trading strategies. Improve existing ones. And leverage it to train your teams within the, otherwise complex and expensive, area of Algorithmic Trading

Same for stress testing

SMART AGENDA

Enhance the accuracy of your Sales (Global Markets & Asset Management) and Bankers (Private, SMEs and Corporates) by letting them timely react to a myriad of high-to-mid frequency signals

Do not settle for standard Recommendation Systems inherited from other domains. Based on "OVERARCH", it brings high quality architecture that includes our business acumen

ALT MARKETS

Leverage our advanced technology of trading exchange simulation to systematize the way you market make illiquid assets (from loans to real estate)

Whether centralized (public exchanges-like) or decentralized (blockchain-like)

Complete your service adding enhanced, deep quotes as well as market making agents to grant a targeted level of liquidity

OVERARCH

Use our platform as a book of game rules across portfolio managers, traders, data scientists and risk managers so that everyone feels comfortable collaborating in a digital ecosystem. Gain crucial insights before devoting large budget onto major decisions. More than halve your digital costs going forward by orderly recycling code, and combining different providers within a well-thought architecture (DIY, ourselves or 3rd parties)

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ENERGY & COMMODITIES

Equitization & Business Digitization

TRADING & HEDGING

"Which spread is optimal to enter in order to hedge the risk we want to mitigate? Which basis? Shall I use baskets instead of isolated instruments? Shall we have an automatic hedge for the hedge in case it moves sharply against us (corner/squeeze)?"

All these questions that help you adapt to the new era in trading - and more - can be advancely analyzed through the same set of our Finance products. These products are the consequence of embedding all different challenges across assets within a same platform. Most of those started in Equities hence, the digitization of Energy & Commodities is nevertheless another case from the, already well-known, Equitization process that, underpinned by data and electronic markets, the whole investment-and-hedging industry is following.

MAINTENANCE

By leveraging our advanced Machine Learning technology from Algorithmic Trading, upon all your private (sensors information (IoT), inventory, sales...) and public (news, market prices...) data sources, we can help you improve the risk-reward ratio of your business - i.e. higher revenues, lower costs and more steady both. This is, we can help you settle the right path towards the digitization of your business.

You will anticipate:
- changes in prices of inputs (yours and those of your providers) and outputs and their consequences in your business
- failures in the inputs you have been supplied with
- failures in your operational processes
- risks in your business dynamics

Towards a real-time system of alerts that allows you to orchestrate every piece involved in aligning all stages of your supply chain:
- better manage your assets' maintenance - e.g. timings and priorities
- prevent safety issues
- decide the optimal level of inventory
- decide your pricing and timing to sell

MARKETING

Because impact is viral. And viral is a digital strategy

MARKETING WAR

Is something viral in a social platform because of people or because of a hack of the social platform? Are you paying for an influencer or for a social hacker? Is there an orchestrated attack against an specific company (whether yours or your competitors) across social networks? Welcome to a new reality that requires new tools.

COUNTER-FAKE

We are going to use the weakness of social media algorithms, which allows for fakenews being viral, as its own solution. Through our digital agents we will boost the exposure of #fakenews flags so that not only those who are about to share them know they have been tagged but, more importantly, those who have consumed them are also aware. 

VIRAL PATH

We can help you understand what the best paths towards gaining viral dynamics across social networks are - not only which type of profiles to reach but also which public individuals, directly.

CYBERSECURITY

The Arms Race in Algo Trading has a lot to say in cyber. And vice-versa.

SCIbersec

If Fractal, along with the rest of our products for Finance, allows investment agents to design, calibrate and audit a series of strategies to get ready for a fierce machine vs machine competition, why wouldn't they help IT managers defend their side of the business from external (and internal) attacks?

Our technology has been abstractly created as a Smart Agent and then, successfully projected into Finance. Next, we will be projecting it into Cybersecurity - the very area where SciTheWorld has been deliverying innovation consultancy since its inception in 2015. 

BlockSafe

We provide any digital strategy (whether for algorithmic trading, advertising, cybersecurity defense, etc) with a technology that prevents you from using it if it has been hacked.

Notably, this technology is one of the few where we strongly believe in the upside of using Blockchain.   

COUNTERintel

A company can be subtly attacked by directly manipulating its equity and credit markets. It can also be gradually taken over behind the scene by active funds. We use our market expertise to track the dynamics of a company and send alerts to its CFO (e.g. "active fund X building up exposure").

Similarly, we track social networks to estimate whether bots are trying to manipulate the public opinion around a company. That way it can counter attack in a timely manner, whether manually or using our own set of Smart Agents.

A.I. AUGMENTED MACHINES

Augmenting humans strangles impact

NEOCORTEX

How to make the most of your professionals in a world of machines? Adopt the earliest stage of Augmented Machines. Help your employees:
1.- take more insightful risks (e.g. traders and portfolio managers)
2.- advice your clients with a sounder judgement (e.g. sales and bankers)
by sharing intel and insights across teams.

Further discover who you should not leave out in your near, machine-driven future. 

Beyond the basics of Collective Knowledge, we gather the views from your experts across a number of financial instruments and give you the views from our machine augmented by them. In other words, "Neocortex adds context".

   sMARTApps

Our Financial Computing suite of products is just the way we show the industry we can cope with the most advanced challenges on ML-driven apps.  

But, as you can see through our singular approach to provide Down-to-Earth solutions, we have curiosity for the solutions-discovery process itself.

Hence, we are more than keen on expanding our portfolio of use-cases along different fields. Whether those have been already visited, as in the case of advanced cybersecurity, or yet to visit, as in the case of marketing, video games, online poker... any project in which we believe we can help our clients have an edge.  

HybridTech

Because the edge is hidden within unseen combinations

Himitsu Technologies

'Himitsu Technologies' ("secret", in Japanese) is the brand with which we will be commercializing our proprietary HybridTech along with different partners. We are the pioneers of this type of technology, which aims at being able to mix different dimensions of the digital challenge (from technologies to algos and disciplines). Ours, further reaches Virtual A.I. and Augmented Machines.

As a result, onboarding our sound judgement along with the different modules that we already deployed, should be an optimal seed for most tech-underpinned ventures, independently of the stage in which they are.

SOUND CONSULTANCY

Novel, one-off challenges also belong to our inner nature

Not always our platform can be onboarded. In those cases, we simply provide high quality consultancy based on our privileged training and set of skills:

· REGULATORS ALGORITHMS APPROVALS ·
Both, Regulators and Banks, approach us to better analyse the suitability of a new, more data-driven algorithm, in the decision making process related to retail.

· GREEN ASSETS SYNTHETIC LIQUIDITY ·
By managing risk systematically and intradaily volume of certain illiquid assets can be increased by more than 30%

· CRYPTO INFLUENCERS ·
Detection and analyses of different bots at Twitter that attempt to affect crypto prices

· FX FIXING AND EQUITY CLOSE PREDICTION ·
Intraday forecasts to help derivative traders better manage their risks

· FIXED INCOME ISSUANCE ·
StatArb strategies and portfolio rebalancing around auction dates

· CREDIT BLACK SWAN ·
We adapted our platform to provide the ACPM desk of a tier one bank with a hedge against a major systemic crises

· REGULATORY ANALYSIS OF HFT ·
Distinguishing good from bad High Frequency Trading to avoid market manipulation

· ANTIMANIPULATION OF STRATEGIES ·
Make sure you are trading the strategy you are expecting to trade. All of its components. One of the few cases where we believe Blockchain has an edge.

· ANOMALY DETECTION ·
Outlier detection of standard activity across servers using billions of rows of information (Netflow data). Improvements in false positive detection exceeded x2

· CODE BOOST ·
Analysis of legacy code, redesign and strategic implementation - from data model to advanced use cases. Efficiency exceeded x3

· HOSTILE BID ANALYSIS ·
Analysis of the probability of large activist funds building up sudden exposure on a client's stock

· CEO PERFORMANCE ANALYSIS ·
Defense of a CEO's performance based on market expectations - discounting market impact from large players' expectations

· TRANSFORMATION GOVERNANCE & AUDITS ·
We can set out best practices when trying to properly govern the challenge of transformation which otherwise, would be siloed around the senior management in charge, without letting the rest of senior managers or board members challenge her decisions. Our approach and views around the "Digital (Des)Economy" has grabbed the headlines and have been the focus of several Digital Economy events. 

trA.I.ning

From DS to Financial Machine Learning to Financial Computing

We used to give lectures on Algorithmic Finance to students and postgrads of Computer Science at University College London

Now it is the industry experts who we train. It is crucial for them to understand the challenges, the pros and the cons behind their digital transformation - in the limit, algorithmization. By leveraging the aforementioned suite of products, beyond mere Power Points, we grant an impactful, hands-on experience.

Our courses are modular to ensure and ad-hoc itinerary, and affordable so that this knowledge can be widely democratized.

M&A.i.

Private equity investors cannot settle for an incomplete due dilligence

What is the quality of tech of the company I am considering buying? How many paths do I have to boost its digitization and what can I expect from each?

Most M&A due dilligences are missing this crucial dimension in the digital era.

We can analyze any company's technology (software and hardware architecture) towards its digitization. We can test how difficult it would be for it to onboard a non-invasive middleware software to leverage data and machine learning - we already have it and can adapt it, bespoke. We can further advice on the pros and the cons of the current team and managers skills, as well as on its personas' conflicts of interest (Game Theory). 

If the company is acquired we can then provide sMARTApps and trA.I.ning to reach impactful transformation.

RETAINING TALENT, LOCKING QUALITY IN

The founders allow SciTheWorld's employees to participate in their private investment strategies

As the traders' say goes: "we put our money where our mouth is"

We are a big family, aligned beyond business, all through savings and curiosity, via FUNd

Talent retention via compensation

Not only SciTheWorld wants to compensate its professionals with top-end salaries, but also with the upside of having them blended with its financial tech

Talent retention via curiosity

The Arms Race in Finance is by far one of the most complex of our history. Its direct machine-vs-machine competition leads to a need for precision that poses very fine challenges for our brains to be continuously entertained with

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Top-end quality via market-proofed

Due to FUNd, SciTheworld does not learn-by-doing with its clients' money. It mostly learns by risking its founders and employees' one - quite an unbeatable level of guaranty on top of SciTheWorld's bias towards success fees 

Top end quality via privileged training

As a result, we continuously train ourselves to reallistically tackle some of the most demanding challenges in ML-driven tech. And that leads to a second-to-none judgement when providing solutions for our clients

Cases & Opinions

The industry has welcome us as Technology Creatives

Future tasks of a Risk Manager

We were asked to provide the Energy Chief Risk Officer Forum, which gathers privately twice a year, with a thought-provoking presentation of the future tasks required to be taken by their risk managers

We believe that it is not realistic to expect a human to be the optimal and most prudent way to supervise machines. Machines are taking over many tasks in trading as they are much faster and robust than a human. For good. But also for bad. And when they go robustly wrong, at speed, we need a machine to take control of the situation.

We created a tech that was capable to attach on-the-fly, a Risk Management strategy to a live Trading strategy, when certain indicators showed that the latter was misbehaving from a risk perspective. 

In the showcase, the Risk Management strategy reduced the aggressivity of the trading strategy, while humans gained time to meet and decide at human velocity.

The provocative thought was welcome by 50% of attendees and fought by the rest. The polemic was served. Being it: do we think that traders shall be sole responsibles for Operational Risk?

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Realistic simulation

A Tier One US Investment Bank had just hired its new CAIO. She comes from academia and they want to see whether we can help her out as we have experience at both academia and industry - a key factor to gain respect across traders

It is not easy for academics to settle in tough environments such are trading floors. Traders are not the most welcoming agents across industries, as the culture of most trading floors is often based on maximal competitivity. On top, there is a lot of jargon and other barriers to entry that could risk the capacity of this new senior manager to impact the P&L of the company. 

But there was a way for a scientist to help traders: calibrate their strategies. 

We created technology to move from inert backtest to simulated interaction. And we did not settle for academic simulation (such are Agent Based Models), instead, we went for the most realistic one that we can produce: to create a wide range of agents (from low to upmost sophistication) through our own trading platform.

By creating different realistic scenarios, and by letting the traders defining those in a very way they understand, the scientists is left with the optimization problem, isolatedly. Being it an optimal task once the rest of challenges have been taken care of.

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Systematic local Reg data compliance

Tier One Global Retail Bank is aware of the risk it is assuming if it does not control, in a systematic manner, that data is queried in a local-compliant way. Why? Because, otherwise, siloes of data scientist around data regulations seems not to be optimal

We agree on the fact that data scientists queries need to be controled by the Chief Data Office. But it has to be transparent to the data scientist or else, its lack of UX will effectively converge to the case where data scientists are siloed

Again, based on our existing technology, we came up with its solution in a couple of days. 

We leveraged the fact that, in our tech, working-from-home data scientists had systematic limits to the data they could request - for numerous reasons, around the protection of the traders' IP. For that, we have a local node, protected with cybersecurity (up to Blockchain, if needed) that takes backend control for the data scientist not to need to change the way she works dependent on her location 

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Algos that audit algos

A Central Bank asked us how they could manage to get to understand the algorithms being deployed in the banks, when banks were so protective about their strategies.

We couldn't agree more with boh parties. Banks shall be able to protect their main assets; and regulators and compliance officers shall be able to understand them inside-out so that the correct functioning of the markets is granted.

We leveraged our technology to create a way to understand algorithms by thoroughly understanding their nature. This is, "I won't value you through your principles but through your actions". 

By carefully designing a set of key scenarios that we want to analyze in order to understand the characteristics of the algorithm across different circumstances we could grant that the central bank accounts for a systematic methodology. A very one that can be equally applied to all agents 

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PARTNERS

We welcome third parties to our business

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Transformation reaches a wide set of challenges, many of which require a team approach

We are starting different due dilligences to select the right group of strategic partners - not only value add is considered but also that there is no friction between them

We are happy to integrate any third party data or module to our overarching technology. Whether from industry or from academia.

If you want your services to be provided through SciTheWorld's Himitsu platform, contact us.

We can proudly say, we don't have them yet. We have accounted for a cybersecurity business that was able to fund our riskiest decisions - e.g. giving up to growth to keep focus on developing our Digital Assets. In the future, we will consider external funding - yet, only from partners that grant our freedom to make decisions towards our ambitiuos projects

Sites made with Mobirise are 100% mobile-friendly according the latest Google Test and Google loves those websites (officially)!

Mobirise themes are based on Bootstrap 3 and Bootstrap 4 - most powerful mobile first framework. Now, even if you're not code-savvy, you can be a part of an exciting growing bootstrap community.

Choose from the large selection of latest pre-made blocks - full-screen intro, bootstrap carousel, content slider, responsive image gallery with lightbox, parallax scrolling, video backgrounds, hamburger menu, sticky header and more.

Our core partners

You will find us tackling large, complex projects with them

ESG

Because we are trully committed to sci-ing the world

ESG-catalysts

We help our clients remain within the scope of ESG-keen investors through the adoption of our principles

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Environment

Overall, our technology is thought to be maximally efficient in terms of energy consumption by both, leveraging synergies through centralization and using the least powerful computer infrastructures we can along the design process. That way, we avoid a usual bad-practice in the industry - overcoming software design inefficiencies with maximal computing (consuming) infrastructures.

Further, we are entering the energy industry so that our impact reaches well beyond our clients' profits. 

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Social

Not only do we devote ourselves to help Non-Profit Organizations around the world (elderly people at Uruguay, eating disorders at Italy...) but we are also commited to help solve one of the main issues of our era, highly disregarded by public and politicians: the impact in terms of redundancies from the application of A.I.

Here, our focus is twofold:
- Recycle of experts' tasks: the best way to avoid people losing jobs is by helping companies to find new tasks for them in a world driven by machines - Augmented Machines. 
- Recycle of experts' skills: starting from our partnership with Instituto de Empresa to create a state-of-the-art MSc in Financial Computing. We target to provide with discounts those companies that partially fund the recycle of those experts they make redundant.

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Governance

Everything we do, leverages our cybersecurity learnings, so that the infrastructure is itself, natively, as protected as possible.

We are pioneers on the usage of market data to value the impact of different policies, strategies and anouncements on the value of shareholders. E.g. CEO Performance Analysis

We help underpin talent selection, career progression and remuneration (meritocracy) through letting experts from different departments add value to the Machine. Through Augmented Machines we allow the machine to aseptically analyze who are the ones that have added most value to its performance. E.g. Neocortex.

Our software design is built upon transparency, traceability and interpretability features at its core.

Finally, we are also experts at discovering and providing advanced tools, ad-hoc to internal Governance across different angles. E.g. Algorithmic Risk Management and Blackbox-ing.

SOCIAL MEDIA

Here a random set of moments we particularly enjoyed

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Best Innovation in Simulation

After three years of hard work, we got the industry recognition. Next: Autonomous Machines

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And more COVID's apps

Journalists remain counting on us to gain unbiased views about the state, pros and cons of the different apps being proposed

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Work anywhere

We have been involved in a TV project (mainstream show) to bring internet to the countryside. So positive move in so many dimensions.

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A3 Coronavirus Special

Here started most of our press cover during COVID19 - we were one of the first to raise pros and cons of its apps

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Local TVs as well

We took responsibility and helped spread the right messages about COVID19 from the Balear Islands to Cadiz local TVs

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XL Semanal

A couple of tweets with the right timing and, a few days later, featured again at this impactul magazine

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Two-in-one, deserves a celebration

The very day we won our most fierce competitors on a major beauty contest, we Augmented for the first time our Autonomous Machine - at last we have the perfect Kernel to start communicating with our A.I. asset and vice-versa

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Cybersecurity & trendy apps

At prime time TV news, we advice on the many ways a hacker can use the different apps that are getting trendy to blackmail you or phish you whether with regards to your personal or your professional life

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TV News

CEO, woman in tech, who codes platform and algorithms all day long, recycled from Biology... being on TV should happen sooner or latter ;)

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A.I. on Latam

Invited by the Interamerican Development Bank and AstUr Foundation to discuss the ways forward on Latin America through Machine Learning

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Japan's Ministry of Finance

Helped distinguish good from bad High Frequency Trading. The research therein conducted yielded a prize to the leader of the project

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TEDx

More interest rallied on Augmented Machines took our Avatar Calibration - quite a complex concept - to be widespread through a TED Talk

Mobirise

XL Semanal

Mainstream magazine asked us to talk about our discoveries on the activity of bots "influencers" within Twitter

Mobirise

The Spanish who will transform Investment Banking through A.I.

Top newspaper noticed we were considered pioneers of the financial industry and wanted to tell Spain...

Mobirise

Oxford Altius

Shared panel on Advanced A.I. with Google DeepMind, Oxford University and UCL. We introduced Augmented Machines to an audience with Nobel Laureates

Mobirise

Twitter

We were asked to speak with @Jack, founder and CEO of Twitter, when he came to Europe. Lots to say about their Machine Learning strategy

SW's Centre of Excellence

Our obsession: Learning-Adaptive Machines

  • AUTONOMOUS - our Machine can calibrate our Digital Strategies continuously
  • SELF-CODED - we allow our Machine to further discover new Digital Strategies by injecting new lines of code within their Rationales
  • AUGMENTED - we found a methodology to let experts understand the Machine and the other way around 
  • OPEN - we will start partnering up with tier one universities and CoEs to keep evolving this game-changer approach and spreading it around the world
Nevertheless, it all started with our aim to Sci-The-World...

CONTACT

Even though you can find us working anywhere we are mostly here

Drop a line

Address:
216, Paseo Castellana
Torre Kío - The Icon
14th Floor (Oliver Wyman)
28046. Madrid. Spain

Email: info at scitheworld.com