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OUR
SERVICES

Our services fall into two categories:

- Research, intelligence and advisory

- Prototyping, development and MLOps 

RESEARCH | INTELLIGENCE | ADVISORY

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RESEARCH

ONE-OFF PIECES OF WORK THAT SEEK TO ANSWER SPECIFIC RESEARCH QUESTIONS

We believe in explaining things in the simplest possible terms, to help people get things done. We don't hide behind acronyms to look clever and we don't write long reports nobody will ever read.

You don't need to know all the intricate details and nuances of deep neural networks, for example - leave that to us - so you can focus on your core business. 

A research project with Osinto:

- Answers an agreed set of questions

- Is delivered via a briefing session with Q&A

- Has a defined end date and cost agreed before kick-off

INTELLIGENCE

WE GATHER INTELLIGENCE ON AN ONGOING BASIS AND REPORT BACK VIA REGULAR BRIEFINGS

 

Osinto's intelligence briefings are ongoing projects where we report back insights in response to an agreed brief, more than once.

Findings are shared at a pre-agreed frequency (daily, weekly or monthly) in the format most useful to you eg. by email, pdf,  virtual / in-person briefings, recorded audio / video  or a simple telephone call.

Osinto's intelligence services:

- Answer an agreed set of questions, at an agreed frequency

- Are delivered in the format most usable by you

- Have a defined end date and cost agreed before kick-off

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ADVISORY SERVICES

LEVERAGE OUR EXPERIENCE WHEN MAKING IMPORTANT BUSINESS DECISIONS

At some point you need to assess what you've learned and decide upon the actions to take. With a wealth of experience across international markets, we can provide advice in a broad range of situations.

From start-ups and SMEs to larger corporate clients, investment funds, governments and other institutions the experience and judgement of our team and our networks can prove invaluable.

We help make decisions and set a course of action, with every project being bespoke to client requirements.

SPECIAL PROJECTS

USE OSINTO AS AN EXTERNAL SKUNKWORKS FOR QUICKLY ITERATING ON SPECIAL PROJECTS

If there's something else you'd like to  work with us on, please don't hesitate to get in touch. We've scouted for investment funds, accelerators and family offices and tracked markets for institutional clients.

We are particularly interested in projects at the cutting edge of science and technology with a bias towards applied machine learning and AI.

There's no set menu for Special Projects - come to us with your requirements, no matter how outlandish others perceive them to be.

PROTOTYPING | DEVELOPMENT | MLOPS

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AI PROTOTYPING

HOW DO WE GET STARTED?

WHAT SHOULD WE BUILD?

The best way to learn is by doing - and that's why we love spinning up prototype products. Some call them 'Minimal Viable Products' (MVPs) others proofs-of-concept.

Semantics aside - we love building these first, dirty, hacked-together versions of software-derived products or services. Between us we've been doing it for decades.

And because we always have an eye on the next set of headaches, we'll help you and your team develop prototypes with an architecture that's designed to scale, from day one.

A prototyping project with Osinto:

- Should be quick to execute and test a specific hypothesis

- Benefits from our MLOps expertise and best practice

- Is defined up-front; with clear goals, timelines and costs

MLOPS

WHAT INFRASTRUCTURE DO WE NEED?

CAN'T OUR DATA SCIENTISTS HANDLE THIS?

Believe us when we say there's an ocean of pain between spinning up a novel AI prototype and deploying production ready software services!

 

And to answer our own question above - no, the scalable infrastructure that underpins production ML is not the domain of the Data Scientists who might build your models.

Navigating the world of Kubernetes containers, elastic compute clouds and Infrastructure-as-a-Service (SaaS) are your MLOps team (if you have one).

Use ours if you don't - and hit the ground running:

- Have your system architected by seasoned MLOps pros

- Learn from all the mistakes we've already made

- Build scalable systems that use infrastructure efficiently

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Making the complex simple.

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