case/backend-batch-capacity-6-to-55products
Before: 6 batches at a time
After: 55 batches at a time
After: 68% more efficient, same hardware
AI-native studio · Delhi
Software that thinks. Built AI‑first.
Web apps, data pipelines and agents, designed around AI and deployed on infrastructure you own. New build or live product.
We
Scrape, shape, ship and reason over your data.
One team, every layer: web, data, cloud and AI. No handoffs.
Stack we ship with: Python, FastAPI, Postgres, LangGraph, AWS, Vector DBs, Next.js.
02 · Data story
Your data's whole journey.
See what we do with messy data, one record at a time.
Customers write in by email, chat and forms. Here's one problem, reported twice. Spot the mess?
From email
URGENT!!! card declined AGAIN
ravi@acme.co · 9:14 am
no categoryFrom live chat
hi, payments failing for our team account
Account: not given · 9:31 am
same customer twiceaccount missing✦ AI by design: steps 1-3 are built so step 4 works from day one. Sized to the job, never bolted on.
03 · Services
Five builds. One team.
AI Agents & Automation
Software that takes the next step on its own.
- Bounded tasks
- Your tools
- Human review
AI Assistants & Search
Assistants that actually know your product, docs and data.
- RAG
- Citations
- In-product
Data & Machine Learning
Clean, structured data, and the models that forecast and reason over it.
- Extraction
- Schemas
- Forecasting
AI-Native Products
Web apps with AI in the core, on infrastructure you own.
- Copilots
- FastAPI
- LLM gateways
Growth & Analytics
SEO, content and paid campaigns sped up with AI, and measured properly.
- SEO
- Paid
- Attribution
04 · Selected work
Shipped. Measured.
case/in-house-time-series-forecastingdata-ml
Before: managed AWS Forecast
After: in-house model, 86% average accuracy
After: full ownership of forecasts
In-house forecasting that replaced AWS Forecast at 86% accuracy
Read the case →05 · Process
Four steps. No surprises.
Discover
We map your data, systems, and goals - whether you're starting fresh or already live.
Already live? Good. We work inside existing codebases: a new feature, a data layer, or the AI layer, no rebuild required.
06 · Why Fork Labs
One team. Every layer.
| Typical agency | Fork Labs | |
|---|---|---|
| Vendors | web + data + AI | one team |
| Handoffs | a spec at every seam | none |
| Who fixes the bug | "not our layer" | us |
| Meetings billed | the ones between vendors | none of those |
The people who scrape and structure your data build the AI that acts on it.
07 · From the blog
Notes from production.
08 · Start here
Tell us what you're building.
We'll show you where AI fits, scope it, and tell you how fast we can ship it.
hello@forklabs.tech · Delhi, India