AI Solutions Studio
Custom AI, built for production.
From a single workflow to a full platform. We design, build, and integrate AI into the stack you already run, and stay until it works in production.
- $150M
- risk portfolio managed
- 16M
- fraud decisions / month
- 30M
- documents indexed
- 618+
- automations shipped
Where our principals have shipped
Newsweek, Citibank, Drip Capital, Google, Axtria, Pfizer, Riverside, Novartis, Incline, Lilly, N1Health, Delta, Stratifi, CGIAR, Cepres
The difference
Most AI never makes it out of the demo.
The gap between a promising prototype and a system your team relies on is where AI projects die. That gap is our entire job: evaluation, integration, monitoring, and a human on the calls that matter. We’ve shipped AI that makes 16 million fraud decisions a month. We know what production means.
What we build
Nine ways we put AI to work.
From a chatbot to a full platform. Every practice is grounded in systems we've already shipped.
The proof
Four principals. Named, senior, hands-on.
The edge is the systems. The people are the proof. Tell us your use case. See who'd build it.
Parik Ahlawat
Principal · Agents & Orchestration
Multi-agent platforms, model routing, n8n orchestration. 618+ automations shipped across 12 industries.
Arpit Jhamb
Principal · Data & Portfolio Ops
PE-backed data + portfolio consulting. ETL, executive dashboards, business automation across operating companies already running on real systems.
Nikhil Bery
Principal · RAG & Document AI
RAG, document intelligence, multi-LLM pipelines, vector + graph search at scale. 30M-doc Elasticsearch indexes.
Shashwat Verma
Principal · GenAI & Financial Risk
GenAI for risk + policy design. $150M risk portfolio at Drip Capital, $1B annual transaction policy designed, 16M Citi fraud decisions/month.
How we work
Scope. Build. Ship. Operate.
A named process, with a human on the calls that matter.
Scope
One call, then a written plan: the use case, the data, the integration points, the number it has to move.
Build
Principals build. Weekly demos on your data, not slides.
Ship
Into your stack, your infra, your access controls, with evals and monitoring wired in.
Operate
We run it with you until it's boring. Then we hand it over, or keep operating it.
GATE · HUMAN IN THE LOOP
Routine work auto-executes. Decisions that would be expensive to get wrong route to a named human reviewer, with context and an audit trail.
Selected systems
Shipped, in production, at scale.
A sample across industries and problem types.
Thinking
Notes from building AI that has to work.
Field notes on production AI, human oversight, and strategy that ships.
Document intake in an accounting practice: what actually eats the hours
Client records arrive in every format a client feels like sending, and somebody re-keys them. A system can read the pile and file it. A qualified person still signs anything a regulator will read.
Private AI, in-house: the shift to internal models and agentic infrastructure
A growing set of regulated institutions are moving AI behind their own walls: open models, agentic infrastructure, and a human on the consequential call. The constraint was never the model.
Why your e-commerce ad pipeline stalls at ten variations
Ad performance runs on variation, and hand-run creative stalls around ten a week. The bottleneck is production, not ideas.
Why us
Why teams pick a small senior studio.
Principals do the work: no juniors on production systems.
You own everything we build: code, data, models, infrastructure.
Real numbers only: every metric on this site traces to shipped work.
No free pilots, no equity-only deals, no slideware.
Start here
Tell us the use case.
Big or small, custom or straightforward. One call to scope whether there’s a fit, and what it takes to ship.
ONE FORM TAKES EVERY REQUEST