Studio · est. 2026
Booking · Q3
[001] — a senior studio
for the age of intelligent
software
Definewhat AIdoes.
We figure out what AI should actually do for your business — then design, build, and hand over the systems that ship it. Senior team. Real evaluations. Owned by you on day one.
✺ — What we build
Four shapes —
one rhythm.
Define · Build · Operate.
Every engagement is sized to the moment — from a one-week discovery sprint to a quarter-long platform build. We embed alongside your team, or run it end-to-end from the studio.
AI Agents
We define where agents earn their keep in your business, build the runtime — memory, tools, evals, escalation — and operate it long enough to hand a team that owns it from day one.
Shape
Define → Build → Operate
Cycle
8 – 16 weeks
Team
2 – 4 engineers
Retrieval Systems
RAG that actually retrieves. We start with what 'correct' means in your domain, build hybrid retrieval against it, and put evaluation in CI so silent drift never reaches your customers.
Shape
Define → Build → Operate
Cycle
6 – 10 weeks
Team
1 – 3 engineers
AI-Native Interfaces
Interfaces designed around generative systems — streaming, partial state, optimistic UI, multimodal editing. We define the unit of work first, then make the model fit underneath it.
ML Infrastructure
Training, evaluation, inference, observability. The boring foundation that lets you ship a Friday change without flinching on Monday. We define your latency budget, then build to it.
Shape
Embed → Harden → Hand off
Cycle
8 – 20 weeks
Team
2 – 5 engineers
✺ — Selected work · 2024 — 26
Six recent
case studies.
01 · 2026
Aurora
An agent operations platform
Define what an agent should own — then ship the runtime that lets a fintech operate it on Monday.
02 · 2025
Meridian
Retrieval at fleet scale
A retrieval pipeline that holds up against twelve million documents and a tribunal-grade audit.
03 · 2025
North Protocol
A multimodal canvas
An AI-native interface for film pre-production — text, image, and storyboard as one editable medium.
04 · 2025
Ripple Labs
Evaluation harness
A continuous evaluation system that turned a brittle medical-coding model into something a hospital would actually deploy.
05 · 2024
Tide & Co.
Embedded copilots
A copilot that lives inside a vertical SaaS — and earns its keep against a CSAT metric.
06 · 2024
Polaris
Inference at the edge
Defined what 'fast enough' meant for a real-time inspection rig — then made it stay that way.
✺ — How we work
Define · Frame ·
Build · Operate.
Four movements, repeated on every engagement. The boring parts — the ones agencies skip — are where the work earns its keep.
Define
A senior week of decisions. We sit with you, your stakeholders, and your data — and we leave with a sharp brief: what AI should do, what success looks like, and what nothing-else solves it.
Duration
~ 1 week
Deliverables
- ▸Discovery doc
- ▸Stakeholder map
- ▸Decision log
- ▸Kill list
Frame
Architecture, evaluation strategy, milestones, risks. The thirty-minute read-aloud document your CTO and your CFO can both nod at. Nothing builds until this is signed.
Duration
~ 1 week
Deliverables
- ▸PRD
- ▸Architecture
- ▸Eval plan
- ▸Milestones
Build
Small senior teams, short cycles. Working software on day five, production by the second sprint. Daily demos, not weekly check-ins. Your team is in the codebase from day one.
Duration
6 – 12 weeks
Deliverables
- ▸Production system
- ▸Eval harness
- ▸Daily demos
Operate
We don't disappear at launch. Runbooks, evaluation in CI, drift alerts, a named in-house owner trained alongside us. By the end of week two post-launch, your team can extend everything.
Duration
~ 2 weeks
Deliverables
- ▸Runbooks
- ▸Owner training
- ▸Drift evals
- ▸30-day support
✺ — A note from the studio
Most teams ask, “how should we use AI?” The better question is — what should we define AI to do that nothing else can? That’s the conversation we’re here for.
Define AI · Founder’s note
✺ — Booking · Q3 · two slots open
Tell us what AI should be doing
for your business.
We take on three to four engagements per quarter. If you’re thinking about the next twelve months of your AI roadmap — start with a thirty-minute call and a sharp problem statement.
shawon.majid@gmail.com→