AI Alignment Infrastructure -- Now in Early Access

Your Agents Keep Forgetting.
Foundry Makes Them Remember.

Every AI coding session starts half-amnesiac. Your team re-explains the same conventions, re-litigates the same decisions, re-asserts the same taste. That's the re-alignment tax. Foundry ends it.

foundry -- signal capture active
$ foundry watch --project=./my-app
-- Watching Claude Code session... signal capture ON
[signal] Dev corrected agent: "use const, not let for this"
[librarian] Classifying... convention (confidence: 0.94)
[route] --> docs/CONVENTIONS.md + .claude/memory/style.md
-- Verified: agent now uses const in 98% of cases
[signal] Dev reverted: removed console.log from prod code
[librarian] Classifying... ci-rule (confidence: 0.97)
[route] --> .github/workflows/lint.yml + CI rule added

You're Paying a Tax
Every. Single. Session.

AI coding agents have recreated institutional knowledge loss at session-level granularity. Every context window reset means re-teaching, re-correcting, re-aligning. The tax compounds. Your velocity doesn't.

73%
of developer corrections are never captured or persisted
47min
avg. weekly time lost per dev re-explaining conventions
6x
compounding re-alignment cost as codebase grows
0
alignment drift remembered between sessions without Foundry
Sessions before your agent forgets your conventions
1
Without Foundry, every new session starts from zero.
Re-Alignment Cost Compounding Over Time
15min
Wk 1
28min
Wk 2
47min
Wk 4
1.5hr
Wk 8
2.8hr
Wk 12
Weekly re-alignment hours (without Foundry)

Meet The Librarian

Every correction you make to an AI agent is a signal. The Librarian captures it, classifies what kind of signal it is, and routes it to the right durable home. Automatically. Every time.

👁
1
Capture
Watches your agent sessions. Detects corrections, reversions, redirects, and preference signals in real time.
📚
2
Classify
The Librarian determines: is this a taste signal? A team convention? A one-off preference? A CI rule? A security requirement?
3
Route
Signal goes to the right durable form: agent memory, docs, test fixtures, CI rules, or architecture decision records.
Signal Flow: From Correction to Knowledge
Incoming Signal
you > don't use optional chaining here
agent > got it, will avoid it
you > also -- all API calls need retry logic
[correction captured: 2 signals]
🧬
The Librarian
Classifying signals...
🧠 Agent Memory — style preference
📄 CONVENTIONS.md — team rule
🧰 Test Fixtures — error cases
⚙ CI Rules — lint + lint check
📜 ADR — architectural decision

You Can't Control
the Model.
Control the Corpus.

There are three layers in every AI-assisted workflow. Only one of them is fully yours. Foundry supercharges the layer that actually compounds -- your corpus.

Works with any agent harness
Bolt-on -- no migration needed
🔒
Layer 1 -- Can't Control
The Model
GPT-4, Claude, Gemini. You rent the weights. Training data, RLHF, base behaviors -- entirely out of your hands.
🔓
Layer 2 -- Partly Control
The Harness
Claude Code, Cursor, Copilot. You configure system prompts and tool access, but the platform controls the runtime.
🔓
Layer 3 -- 100% Yours △
The Corpus
Your docs, memory files, conventions, fixtures, CI rules. This is your only real leverage point -- and it compounds.
△ Foundry supercharges this layer

What's Your Re-Alignment Tax?

Enter your team's numbers and see exactly how much you're paying -- and how much Foundry saves you.

Re-Alignment Tax Calculator
Drag the sliders to match your team
Team Size (developers) 5
AI Sessions per Developer per Day 3
Avg. Minutes Re-Explaining per Session 8 min
Average Developer Hourly Rate ($) $150
Without Foundry
Hours wasted / week 10.0 hrs
Cost per week $1,500
Annual re-alignment cost $78,000
With Foundry
Estimated reduction ~85%
Hours saved / week 8.5 hrs
Annual savings $66,300
Your estimated annual ROI with Foundry Team Plan
44x

Session 47.
Two Very Different Realities.

Session 47 -- Without Foundry
GROUNDHOG DAY
09:02 you:
hey, start a new feature for the dashboard
09:02 agent:
sure! i'll use var for the variables and...
09:03 you:
no -- const/let only. we've been over this
09:04 you:
also don't use default exports -- named only
09:05 you:
and please add error boundaries -- EVERY time
09:07 you:
api calls need retry logic. still. same as yesterday.
⚠ 12 minutes burned re-explaining. Again.
Session 47 -- With Foundry
FOUNDRY ACTIVE
09:02 foundry:
Session started. Loaded 47 conventions, 12 style rules, 8 architectural decisions from corpus.
09:02 you:
hey, start a new feature for the dashboard
09:02 agent:
on it. using const/let, named exports, error boundaries, and retry logic per your conventions. want me to scaffold the component?
09:03 you:
yes please. looks good.
09:03 agent:
here's the scaffold with all conventions applied...
✓ 0 minutes re-explaining. Straight to building.

Static Docs vs.
Living Knowledge

CLAUDE.md is a start. Foundry is the infrastructure that keeps it alive, verified, and growing automatically.

Static Docs (CLAUDE.md)
Manual. Stale. Forgotten.
Manually updated (or never updated)
No signal capture -- corrections vanish
No classification -- everything is flat text
No verification that rules are actually followed
Grows stale as codebase evolves
Individual -- no team-level sync
VS
Foundry Corpus
Living. Verified. Automatic.
Auto-updated from captured correction signals
Every session generates new knowledge
Signals classified by type: convention, taste, CI, ADR
Verified: measures actual alignment improvement
Self-curating -- removes stale or conflicting rules
Team-level: shared institutional knowledge
🔄
The Corpus Compounds. Static Docs Decay.
The longer you use Foundry, the better your agents get. Each session adds signal. Each signal improves alignment. Each improvement reduces the re-alignment tax. It's a flywheel -- and it's entirely in your control.

Developers Feel the Tax Daily

I literally have a sticky note that says "reminder: tell Claude to use named exports" because I got tired of explaining it every single session. This is the thing I didn't know I needed.
SR
Sarah R.
Senior Engineer, Series B SaaS
We're a team of 8 all using Cursor. Every developer has a slightly different understanding of our conventions. The agent just inherits whoever last updated CLAUDE.md. It's chaos. This would fix that.
MP
Marcus P.
Engineering Lead, Fintech Startup
The hardest part of AI coding isn't the AI -- it's that I'm the institutional memory. Every session I'm translating 3 years of architectural decisions into prompts. There's got to be a better way.
AK
Aiko K.
Principal Engineer, Enterprise Software
I tracked it one week. I spent 6 hours explaining things to AI agents that I had explained the week before. That's 15% of my working hours. On re-explaining. Not building.
DL
Devon L.
Full-Stack Engineer, Remote-first Team
We onboarded a junior dev last month. Within a week, the AI agent they were using had learned all the wrong patterns because nobody captured the corrections. Foundry would have prevented that.
TC
Taylor C.
CTO, Pre-seed Startup
The re-alignment tax is the dark matter of developer productivity -- invisible, unmeasured, and everywhere. I've been waiting for a tool that names the problem and solves it. This is it.
RN
Raj N.
Staff Engineer, 500-person Engineering Org

Start Free. Scale as You Grow.

No credit card to start. Cancel any time.

Solo
Free
forever
Perfect for individual developers tired of explaining the same things twice.
Up to 1 project
100 signals / month
Auto-capture for Claude Code
Basic Librarian classification
Memory + docs routing
--Team features
--CI rule routing
--Verification loop
Enterprise
Custom
contact us
For large engineering orgs with complex codebases and compliance requirements.
Everything in Team
On-premise deployment option
Custom Librarian training on your codebase
SSO / SAML
Audit logs + compliance
SLA + dedicated support
Executive alignment reporting
Custom integrations