Team
Small on purpose.
There is no bench here, and nobody standing between you and whoever builds your thing. The person who scopes the work is the person who writes the code. That is a real constraint as much as a selling point: it means we turn down work we could not do properly, and we would rather tell you that early than discover it together.
Founder
Dr. Aous Abdo
Aous is a physicist. He spent a decade in federally funded research — the Milagro observatory at Los Alamos, then a National Academy of Sciences fellowship on NASA’s Fermi mission, held across NASA and the Naval Research Laboratory. It was the same job every time: find a faint real signal buried in noise, and then defend it to a room of people whose job is to find the hole in it. That turns out to be this job too.
- Statistical inference on noisy, incomplete and contested data
- Explainability that survives a hostile review
- Federal delivery — scoping, clearance, and what may be said about it afterwards
Chief Technical Officer
Dr. Amine Chouicha
Dr. Chouicha has built production data infrastructure for twenty-five years, seventeen of them in financial services, where a late message and a wrong number cost the same as an outage. His work is the part of a system nobody demos: entitlement frameworks that decide who may read what, streaming platforms moving data between teams that never agreed on a schema, and search infrastructure serving an entire company rather than one product.
- Real-time and streaming data architecture, at enterprise scale
- Data governance and entitlement — who may see which rows, enforced in the platform
- Hybrid and multi-cloud platform design, and the migration path onto it
- Engineering leadership across distributed teams and time zones
Principal AI Engineer
Jacob Weiss
Jacob builds the infrastructure other people’s AI runs on. He is a core engineer on two open-source frameworks used well beyond this firm — pixeltable, which handles multimodal data for AI workloads, and agno, for multi-agent systems with memory and reasoning. That is a specific and unusual thing to be good at: most people building with agents are consumers of exactly this layer, and he has spent years on the side of it that has to actually work.
Degrees in financial engineering and in analytics, which is a useful pair: the first is about pricing risk you cannot remove, and the second is about finding it.
- Agentic systems — orchestration, tool use, and memory that survives a session
- Multimodal data infrastructure for AI workloads
- Retrieval and embedding pipelines, from prototype to something on call
- Cloud deployment for AI services, chiefly on AWS
How we staff
Everyone here is senior.
Plenty of firms win the work with senior people and then hand it to juniors. We could not do that if we wanted to — there is nobody to hand it to. When a project needs a specialism none of us has, we say so, and bring in someone who has it by name, rather than learning it on your budget.
- Everyone is senior
- The shortest career on this page runs over a decade.
- You meet who builds it
- Whoever scopes your project also writes the code.
- We publish
- Everything Analytica builds in the open, you can open and judge yourself.
- We say no
- If we are not the right people, we will point you to who is.
What are you trying to get right?
Tell us the decision you keep having to make with less certainty than you would like. We will tell you honestly whether the data you already have can support it — and if it cannot, we will say so on the first call rather than the third.