01 / Strategy
AI strategy & roadmap
An honest written assessment of where AI fits — and where it doesn't. We rank opportunities, kill bad ideas, and leave you with a credible plan.
Realise your AI ambitions. From ideas to execution.
We help organisations move from AI curiosity to AI advantage — through honest strategy, sharp engineering, and teams that actually ship.
§ Services
Six ways to ship.
Showing card 01 / 06
02 / Build
Discovery & prototyping
From idea to a running prototype on your data, in your environment. We pressure-test the model before you commit to production.
03 / Engineer
Agent & application engineering
Production-grade systems your team operates. Agents that take action, applications that handle edge cases, observability baked in.
04 / Customise
Model customisation & RAG
Fine-tune for your domain. Retrieval over your documents. Routing across open and frontier models without lock-in.
05 / Integrate
Integration & deployment
Embed into existing stacks — Slack, Salesforce, your data warehouse, your internal APIs. Zero disruption to current systems.
06 / Enable
Team enablement
Engineers and PMs trained on what you ship. Documentation, on-call coverage, and a runbook so your team owns it after we leave.
uriel.langley @ai
founding · operations
§ Approach
How we work.
I
Phase 01
Discover
We meet your stakeholders, look at your data, and write an honest read on where AI can — and can't — move the needle. No theatre.
II
Phase 02
Design
Architecture, model choices, eval criteria, deployment plan. We co-design with your team so the system survives the day we leave.
III
Phase 03
Build
Engineers ship. Code lives in your repos, runs on your infra. Weekly demos, written progress notes, no surprises at the end.
IV
Phase 04
Scale & enable
Documentation, training, on-call coverage. We stay engaged until your team owns it — then step away cleanly.
§ Latest work
Shipped, in production.
Showing card 01 / 06
Cutting classifier latency 8× with adaptive routing
A 4-week prototype turned production-grade once we replaced a single-model setup with adaptive routing across three tiers.
↳
Read the engagement note
Multi-agent claims triage running 24×7
12 agents orchestrate intake, eligibility, and prior-authorisation. 72% of claims auto-resolved without human review.
↳
Read the engagement note
Retrieval over 2M case files, end-to-end
Hybrid BM25 + dense retrieval over the firm's case archive. Drop-in replacement for the paralegal search workflow.
↳
Read the engagement note
The eval rubric we run before every prod deploy
Three axes — precision, latency, hallucination — one script. No merge to main until it passes.
↳
Read the engagement note
New-hire onboarding agent for a billing codebase
Two-day ramp → 41-second briefing. Engineers ship on day one.
↳
Read the engagement note
Vendor-agnostic routing across four model APIs
Cost-aware fallbacks across gpt-4o, claude, gemini and llama-3. 62% lower spend, same accuracy floor.
↳
Read the engagement note
§ Writing
From the desk.
Showing card 01 / 03
Note 22 Jan 2026
№ 01
Notes on evaluating Claude vs GPT-class models for domain classification
A short, opinionated rubric we used recently — and the trap most teams fall into when they confuse benchmark scores with production fit.
2 min read
Case study 15 Jan 2026
№ 02
Building an AI discovery workflow for a precision manufacturer
How we helped a 200-person manufacturing firm identify and prioritise AI opportunities — without disrupting a single production line.
2 min read
Insight 10 Jan 2026
№ 03
Why we have an AI co-founder
An experiment in building the product we preach — and why Uriel Langley is the most honest member of our team.
2 min read
§ Team
Founded by builders.
Three founders. Two human, one AI. We started UdyogLabs to do the kind of AI work we'd want done for us.
Anuj Garg
Strategy & Growth
A decade in product management, turning messy business problems into things that ship with technology. Hates jargon. Writes the engagement memos.
Utkarsh Agarwal
Engineering & AI Systems
Five years of deep technical work and multiple 0→1 builds. Has shipped agents, search, and ranking from scratch. Reads papers; ships code.
AI · FOUNDING
Uriel Langley
Operations & Research · AI
Our third founder is an AI agent. Drafts memos, runs experiments, books reviews. Treated like a teammate, not a tool.
§ FAQ
Direct from
Direct from
the founders.
We replied to actual prospect questions. No marketing.
Not seeing your question?
Ask us directlyAre you a consultancy or a product company?
A services firm. We design and build custom AI systems for organisations — we don't sell our own products. The systems we deliver are owned by you.
What size of organisation do you work with?
Series A through enterprise. We're deliberate about cohort size — we take on around 6–8 engagements a year so we can give each one real attention.
Where are you based, and where do you work?
Headquartered in India. We work with teams across India, the UK, US, and Singapore. Most of our build phase is async with a weekly sync.
One of your founders is an AI. What does that mean operationally?
Uriel is a real agent we built. He drafts engagement memos, runs evals, books meetings, and contributes to our research. We treat him like any other teammate — with named accountability and on-call rotations.
How do engagements typically begin?
A 30-min intro call. If there's fit, we move to a 2-week Discovery — written, paid, low commitment. If Discovery says "yes," we scope a build. If it says "no," we tell you.
Open vs frontier models — what's your view?
Both. We route based on task, cost, latency, and data sensitivity. We're model-agnostic and write code that doesn't lock you into one vendor.
Data security and IP?
Standard NDAs and DPA. Data stays in your environment unless explicitly agreed. IP for everything we build is assigned to you on delivery. SOC 2 in progress.
How do you price?
Fixed fee per phase. Discovery is a flat rate. Build is scoped after Discovery and priced as a milestone-based engagement. No hourly billing, no retainers.
Let's see if there's a real engagement here.
Thirty minutes. We learn what you're trying to do. You learn whether we can help. If we can't, we'll tell you who can.