New: The 90-Day Compliance AI Program — enterprise deployment open for Q3.
CTO-led Compliance AI · India · Remote

Compliance AI.
In production.

We architect and ship enterprise-grade compliance AI systems for regulated industries. Protection-first engineering, sober governance, and pipelines that hold up at month nine.

Explore obsequi.tech
Est. 201815+ senior engineersSOC 2 · FCA aware
OBSEQUI · LIVE
INDIA · UTC+5:30
Trusted by regulated teams
Lumière CapitalNorthwind HealthSteelyardCalder & FayePolaris InsuranceHalcyon
By the numbers

Production AI,
shipped quietly.

Six years of enterprise engagements across finance, health, and law. We design for evals first, latency second, hype never — and the receipts back it up.

0
Recordings processed weekly on regulated workloads
0
Production uptime across active engagements
0
Average path from kick-off to first deployment
0
Documents indexed in client retrieval systems
The Pipeline

A predictable
path to production.

01

Ingest

Documents, voice, telemetry — we land it lossless and tagged at source.

02

Embed

Hybrid lexical + vector retrieval, tuned per domain. Real evals, not vibes.

03

Reason

Frontier models, governed prompts, citation-first answers. Provenance preserved.

04

Ship

SOC 2 · FCA aware. On-call humans. Cost-bounded, observable, audit-ready.

0%
Ingest
The Pipeline

A predictable path to production.

01

Ingest

Documents, voice, telemetry — we land it lossless and tagged at source.

02

Embed

Hybrid lexical + vector retrieval, tuned per domain. Real evals, not vibes.

03

Reason

Frontier models, governed prompts, citation-first answers. Provenance preserved.

04

Ship

SOC 2 · FCA aware. On-call humans. Cost-bounded, observable, audit-ready.

Capabilities

Four disciplines.
One senior bench.

No juniors on regulated workloads. No frameworks-of-the-month. Just engineers who've shipped this before — and stayed for the post-mortem.

End-to-end engineering · flagship

Full-Stack Product Builds

Design to deployed — the whole product. UI to infrastructure, with security and multi-jurisdiction compliance baked in from the first commit. One senior bench, from Figma to on-call.

FigmaNext.jsTerraformAWS / GCPSecurityCompliance
Read overview

LLM Pipeline Architecture

End-to-end RAG and agentic systems. Eval harnesses first, latency second, hype never.

RAGVectorsEvalLangGraph
Read overview

Document & Voice OCR

Unstructured intake — claims, contracts, calls — into structured business intelligence overnight.

OCRWhisperSchemas
Read overview

Compliance-First AI

FCA-aware design, GDPR data handling, audit trails preserved end-to-end. Approval-ready on day one.

FCAGDPRSOC 2Audit
Read overview
End-to-end engineering

Not just AI.
The whole product.

We design, build, and ship complete applications — interface to infrastructure — with security and multi-jurisdiction compliance baked in from the first commit. One senior bench, from Figma to on-call.

01

Design

Blank Figma to a coherent design system and a prototype stakeholders sign off — before production code exists.

02

Build

Type-safe full-stack application. React / Next.js front end, well-modelled APIs, data layers built for real load.

03

Infrastructure

Infrastructure-as-code on AWS or GCP, CI/CD, observability, and cost guardrails. Reproducible, no snowflakes.

04

Secure

SSO, least-privilege access, secrets management, encryption everywhere, and audit logging an assessor can read.

05

Comply

GDPR, FCA, SRA and US frameworks designed in from commit one — approval-ready, never retrofitted.

Regulatory awareness, by default

We turn the frameworks your industry answers to into concrete architecture — UK, EU, and across the US.

How we handle compliance
GDPRUK DPA 2018FCASRAHIPAASOC 2CCPA / CPRAPCI DSS
A worked example

From Figma to
enterprise, in 90 days.

Three phases. Architecture Audit (wk 1–2), 30-Day Prototype Sprint, Scale to Production (day 31–90). Most clients have working software inside the first month.

Day 1: NDA signed, data topology mapped, ROI-ranked backlog issued.
Day 14: working retrieval prototype against your real corpus, with eval harness.
Day 90: production deployment, observability stack, runbook, and on-call humans.
foundry/pipelines/clinical_rag.py
Engagements

Start with
an audit.

Every engagement begins the same way — a free, focused diagnostic. No SoW theatre, no price tags before we understand your data. We scope against what we find.

Prototype Sprint

Scoped/ from the audit

A senior team validating core logic against your real data inside one calendar month.

  • 2 senior engineers + lead
  • Eval suite + cost model
  • Working prototype, not a deck
  • Direct path into Production

Scale to Production

Scoped/ from the audit

Cost-optimised infra, observability, and human on-call for regulated workloads.

  • AWS / GCP deployment
  • 99.9% SLA, 24×7 on-call
  • Quarterly architecture review
Before you book

The questions
regulated teams always ask.

Straight answers. If yours isn't here, it gets answered in the first ten minutes of the audit — no salespeople in the room.

How do you handle our data during the audit?

We sign your NDA before the call — day one, no exceptions. The Architecture Audit is a read-only diagnostic: we map your data topology and surface risks without moving or copying anything. Nothing leaves your environment unless and until a scoped engagement says it can.

Are you actually compliant, or just "compliance-aware"?

Both, deliberately. We build to SOC 2 controls and design FCA-aware, GDPR-correct pipelines with audit trails preserved end-to-end. We are not a law firm — we partner with your compliance team and hand them approval-ready architecture, not a black box they have to defend after the fact.

What does an engagement actually cost?

The audit is free. Everything after it is scoped against what we find — we will not quote a number before we understand your data, because that number would be fiction. You leave the audit with an ROI-ranked roadmap and a fixed-scope, fixed-bench proposal. No open-ended retainers, no SoW theatre.

How fast can we have something in production?

Most clients have a working prototype against their real corpus inside the first 30 days, and a production deployment — observability, runbook, on-call humans — by day 90. The audit tells us if your timeline is realistic before you commit a penny.

Who actually does the work?

Senior engineers only — no juniors on regulated workloads, no offshore handoff. The person who scopes your audit is the person who would lead your build. We are a 15+ engineer bench that has shipped this before and stayed for the post-mortem.

What if we already have an internal AI team?

Most of our clients do. We embed alongside them — architecture, eval harnesses, and the unglamorous production hardening that internal teams rarely have bandwidth for. The goal is to leave your team able to own it, not dependent on us.

Still deciding?

The next chapter
of your compliance
is yours to ship.

Free 30-minute Architecture Audit. We sign your NDA, you get a build roadmap. No decks, no salespeople — just the engineer who'd lead your project.

hello@obsequi.tech