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Fformulate
For engineering teams · 5 to large

The Enterprise Context Layer for teams shipping with AI.

Every Cursor, Claude Code, and Windsurf session gets your team's accumulated knowledge — architecture decisions, code standards, hard-won patterns — injected automatically.

  • New devs productive in days, not weeks
  • Tech standards enforced in every AI session
  • Institutional knowledge stays when people leave

Free 60-day trial · Your data stays on your infrastructure

THE SAME QUESTION. TWO VERY DIFFERENT ANSWERS.

WITHOUT CONTEXT
You: Which database should I use for user sessions?
You could use Redis, Memcached, PostgreSQL, or DynamoDB — it depends on your latency requirements, data size, and whether you need persistence...

Generic. No context. Could be wrong for your team.

WITH CONTEXT
You: Which database should I use for user sessions?
Your team decided to use Redis for all session caching — chosen because you already run Redis on AWS. Use Redis here. See the original decision from March 2024 in your Enterprise Context Layer.

↑ Context auto-injected from 47 captured team sessions

Vibe coding is powerful for one person. It breaks down for teams.

Every AI session starts with zero knowledge of your team — your stack, your decisions, your standards. The AI has to be re-taught by every developer, every time.

WITHOUT CONTEXT · 5-PERSON VIBE CODING TEAM
A
S
R
J
M
5 developers · 0 shared context

Dev 2 asks which DB to use — AI gives a generic list: Redis, Postgres, DynamoDB, Memcached...

New hire needs 2 weeks of shadowing just to understand your stack and conventions.

Alex leaves. His 3 years of architecture decisions leave with him.

You re-explain your standards at the start of every single AI session.

WITH CONTEXT · SAME 5-PERSON TEAM
A
S
R
J
M
5 developers · 1 Enterprise Context Layer

Dev 2 asks which DB — gets: "Redis. Your team chose it in March because you already run it on AWS."

New hire commits meaningful code on day 2, not week 2.

Alex leaves. His knowledge stays in the Enterprise Context Layer forever.

Every AI session starts with your full team context — zero re-explaining.

WHAT YOUR ENTERPRISE CONTEXT LAYER (ECL) CAPTURES

TECH DECISION

Use Redis for all session caching — we already run it on AWS. PostgreSQL for persistent data only.

Captured from 3 Cursor sessions · March 2024

CODE STANDARD

snake_case everywhere in Python. No direct DB calls from the frontend — always go through the API layer.

Enforced in every AI session · Since day 1

DEBUG PATTERN

Auth failures? Check JWT middleware token expiry before touching anything else. Saves 30 min every time.

Captured from 12 debugging sessions

How Context captures and injects wisdom.

Two flows run on every AI session — one while you code, one silently in the background. Your developers notice neither.

continuum-proxy
$ ANTHROPIC_BASE_URL
 http://localhost:8765

POST /v1/messages
 forwarding to Anthropic...
200 OK · streamed to cursor
01Proxy interceptsOne env var · zero changes for devs
background-extractor
{
 "category": "tech_decision",
 "content": "Use Redis for sessions —
 already on AWS",
 "importance": 0.92
}
02AI extracts contextRuns after session · zero dev overhead
mcp-server · session start
get_org_standards()

Redis for sessions
No direct DB from frontend
Auth → check JWT expiry first

AI now knows your team.
03Context injectedEvery dev · every tool · automatically

Local proxy on your infra · pgvector for semantic search · MCP for injection

Everything runs on your infrastructure.

Context is not a cloud service. It deploys inside your environment — your proxy, your database, your data. Nothing touches our servers.

DEVELOPER MACHINE
Cursor
Claude Code
Windsurf
Copilot
no changes for devs
YOUR INFRASTRUCTURE
LLM ProxyFastAPI · port 8765

Intercepts every AI API call silently

Context ExtractorClaude Haiku · background

Pulls decisions + patterns from conversations

Vector StorePostgreSQL + pgvector

Stores org memory as semantic embeddings

MCP ServerModel Context Protocol

Injects relevant context at every session start

your servers · your control
AI APIS
Anthropic
OpenAI
your API keys · unchanged
API CALLS

Intercepted by proxy, forwarded unchanged to Anthropic / OpenAI

EXTRACTED CONTEXT

High-level decisions only — never raw source code

ORG MEMORY

Stored as vectors in your PostgreSQL. Queried via semantic search.

Built for teams that can't afford to leak IP.

Most AI tools send your code to the cloud. Context doesn't. The entire wisdom layer runs on your infrastructure — no Context server ever sees your data.

WHAT CONTINUUM CAPTURES

"Use Redis for session caching — already on AWS"

"snake_case everywhere in Python"

"No direct DB calls from frontend"

"Auth failures → check JWT expiry first"

High-level decisions only. Stored in your database.

WHAT CONTINUUM NEVER TOUCHES

Your source code

Your API keys

Your prompts or conversation content

Any data outside extracted decisions

Continuum has no cloud backend that receives this data.

Your infra, full stop

The proxy, vector database, and MCP server all run inside your environment. Context has no cloud backend that touches your data.

No raw code stored

We never store source code. The extractor only captures high-level decisions — "use Redis for sessions" — not the code itself.

Dedicated instance

Your org memory is isolated. There is no shared multi-tenant database. Your team's context is never mixed with another org's.

Your API keys stay yours

The proxy forwards your existing Anthropic / OpenAI keys unchanged. Context never reads, stores, or retransmits them.

Full audit trail

Every memory capture is logged with source tool, developer, timestamp, and session ID. You control what gets retained or deleted.

IP-safe by design

Only extracted decisions reach the database. Your proprietary algorithms, business logic, and source code never leave your machine.

COMING SOON

Know exactly how your team codes with AI.

Context captures everything that happens in AI sessions — which means it can surface insights no other tool can. Token costs, contribution scores, and personalised learning paths, all from data already flowing through the proxy.

TOKEN USAGE · THIS MONTH2.4M total
Alex
680K$18.4
Sam
430K$11.6
Ravi
395K$10.7
Mia
290K$7.8
Jake
195K$5.3
Est. monthly cost$53.80
VIBE CODER RANKINGMay 2025
🥇
A
Alex
47 decisions
62 sessions
🥈
S
Sam
31 decisions
44 sessions
🥉
R
Ravi
28 decisions
39 sessions
#4
M
Mia
19 decisions
27 sessions
#5
J
Jake
12 decisions
18 sessions
Ranked by decisions contributed to org memory
PERSONALISED LEARNING PATHS
A
Alex

Database optimisation patterns

12 sessions asking about slow queries this month

PostgreSQLindexingquery plans
S
Sam

API security & auth flows

Repeated questions about JWT and session handling

JWTOAuth2middleware
R
Ravi

React state management at scale

8 sessions debugging Zustand and prop drilling

ZustandContextperformance
Curated from recurring session patterns · updates weekly

Up and running in one day.

We handle the setup. Your developers just keep coding the way they already do.

01

We connect your tools

Our team configures Context for your existing AI coding tools — Cursor, Claude Code, Windsurf, Copilot. Under an hour. No changes to how your developers work.

Works with any AI coding tool · No new logins for your devs
02

Everything captures automatically

Architecture decisions, tech choices, debugging insights, conventions — extracted from every AI session and stored as org memory. No forms to fill. No manual tagging.

Zero developer overhead · Runs silently in the background
03

Every session starts with full context

Any developer, any tool, any new project — gets your org's accumulated knowledge injected automatically. New hires onboard in days. Senior knowledge never walks out the door.

Instant onboarding · Knowledge that compounds over time

Vibe coding that scales with your team.

Vibe coding is powerful for individual developers. Context makes it work at the org level — where knowledge, standards, and context need to be shared across people and time.

2 days
avg. new-hire ramp time
was 2–3 weeks

New devs hit the ground running

Instead of weeks of shadowing and reading outdated docs, new developers query the org memory and start contributing on day one. The institutional knowledge that used to live in senior devs' heads is now searchable.

0%
knowledge lost on departure
was 100% at risk

Knowledge stays when people leave

When a developer leaves, their domain expertise stays. Every decision they made, every pattern they followed, every bug they solved — preserved in org memory forever. KT becomes a 5-minute query, not a 5-week process.

Every
AI session follows your standards
was zero enforcement

Your tech standards, auto-enforced

Define once: "We use Postgres everywhere." "snake_case in Python." "No direct DB access from frontend." Every AI session — Cursor, Claude Code, Windsurf — gets these rules injected automatically. No Slack reminders. No code review arguments.

Built for teams already doing vibe coding.

If your team is already using Cursor, Claude Code, or Windsurf to ship — Formulate Context is the Enterprise Context Layer that makes vibe coding scale past a single developer.

“We went from spending two weeks onboarding a new dev to having them commit meaningful code on day two. The context was just there.”

— CTO, early access team · 18 developers

We respond same business day · No sales pressure

WHAT YOU GET
Same-day setup
Our team connects Context to your existing tools. Your devs notice nothing changed.
Dedicated instance
Your Enterprise Context Layer runs on your own infrastructure. Your data never sits in a shared database.
Works with every AI tool
Cursor, Claude Code, Windsurf, GitHub Copilot — one integration, all tools covered.
Org standards setup
We import your existing tech standards from your docs. Enforced in every AI session from day one.
60-day free trial
Full access, no credit card. Cancel anytime in the first 60 days.