ENPTETRU

AI made every step faster. So why does shipping still fall apart?

Because each AI sees only its slice of the work. LoomSignal gives them one shared context, from idea to production.

Runs on-premiseNo subscriptionProvenance by default
TIME SAVEDAI SAVES TIME IN EVERY STAGEREWORK
AI
AI
AI
AI
AI
AI
Idea
Plan
Design
Code
QA / Test
Release
Notion
JIJira
Figma
GitHub
PWPlaywright
GitLab CI
LoomSignal Trusted context layerWeaves signals. Preserves meaning. Served to every human and AI.
Claude Code
Codex
Slack
CI/CD
Dashboards
Custom Agents
Unified context. Better decisions.
CodeTHE PART EVERYONE SEES
01 / 08
How it works

Connect. Weave. Ask.

LoomSignal lives where your knowledge already does. Connect your tools once, and it builds a single trusted context layer that any AI agent can query. These are the real screens.

01Connect

Connect everything in one command.

Run loomsignal init and it connects your sources in minutes, verifying every credential on the spot. Everything runs inside your own infrastructure.

runs on your own servers, nothing leaves
every credential verified before you move on
private repos via read-only deploy keys
~ loomsignal init
$ loomsignal init
1 · Model — semantic search
How embeddings are generated (what powers meaning-based search).
› Ollama / local (detected ✓ · no key)
Gemini (cloud)
Custom endpoint (OpenAI-compatible)
None (text search / FTS only)
verifying model endpoint (one real embed)…
─── ···
4 · Sources — connect your knowledge
✓ acme/checkout — files + pull requests & issues · manage
✓ Jira — connected as acme-workspace · reconfigure
• Notion — pages
Finish setup →
─── ···
LoomSignal · ready
────────────────────────────────────────────
✓ config ~/.config/loomsignal/config.yaml
✓ model verified
✓ repo checkout · 214 docs ingested (+ GitHub activity)
✓ daemon running (service: loomsignal)
Read token — a consumer (bot, IDE, agent) uses it to READ the knowledge:
lsr_2vJkQ7hPmA4t…9QfX
keep it (shown once) · e.g. in your bot's .env
✓ guided setupone command · verified end-to-end · abridged (···)
02Weave

It builds your context layer on its own.

It keeps every source in sync and turns each update into a verified, cited fact. Contradictions are caught and kept, never silently averaged away.

syncs every source on a schedule, on its own
full provenance chain, verifiable offline
contradictions surface, they don't disappear
~ the daemon
GitHubJiraNotionFigmaPlaywrightGitLab CI
sync every 1h
BRONZEappend-only observations — nothing is ever overwritten
SILVERentities resolved · contradictions detected
GOLDgoverned knowledge · full provenance
READ-GATEcontested claims flagged · stale marked · nothing blended
Claude Codeyour IDEany MCP client
✓ source github · records=87 pushed=85 duplicate=2 rejected=0 skipped=0
✓ source jira · records=34 pushed=34 duplicate=0 rejected=0 skipped=0
provenance chain: 1,284 entries, VERIFIED
⚠ competing claim exists — held for review · loomsignal contradictions
✓ runs headlessit works on its own; the log lines are its output
03Ask

Your agent asks. LoomSignal answers.

Claude Code, Codex, Slack, or any AI client pulls trusted context straight from the layer through MCP, the open protocol these tools speak. What changes is the answer: grounded, cited, and honest about conflicts.

works with Claude Code, Codex, Slack, anything that speaks MCP
every claim arrives cited back to its source
contested facts reach the agent flagged, never blended
~ claude code · loomsignal connected over MCP
why did checkout p99 spike after the v2.3 deploy?
loomsignal - loom_query_context (MCP)(query: "checkout p99 spike after v2.3 deploy")
⎿ 3 documents · entity=checkout-service · 1 warning: contested
The spike traces to PR #412 — the payment client moved to a shared
connection pool sized for steady-state traffic. ADR-9 explicitly left
flash-sale load out of scope, and incident 211 shows p99 rising ~40ms
right after the rollout.
⚠ one claim is contested — on-call blames pool exhaustion, the deploy
notes blame cold cache. Citing both instead of picking one.
Sources
→ github.com/acme/checkout/pull/412 · change · gold
→ jira.acme.com/browse/INC-211 · incident · gold · contested
→ notion.so/acme/adr-9 · decision · gold
operators can peek at the same read-gate from the CLI → loomsignal query "…"
✓ cited answersevery claim traces back to its source; contested claims arrive flagged
Integrations

Works with the tools your team already uses.

LoomSignal connects to the places where work already happens, so your team keeps its flow while AI gets better context.

Planning & Docs
Notion
Confluence
Jira
Design & Research
Figma
Miro
Code & Dev
GitHub
GitLab
Bitbucket
Test & QA
Playwright
Cypress
Ops & Observability
Datadog
Sentry
Communication
Slack
MS Teams
+ many more integrations. Context in from where work happens, trusted context out through MCP
Privacy & Security

Private by default. Governed by design.

Your data stays yours. LoomSignal is built for security, compliance, and scale. On your terms.

Your data, your controlOn-prem or self-hosted. You decide where it lives.
Secure by designEnd-to-end encryption, least privilege, and audit logs.
Bring your own keysBYOK support for KMS and secret management.
Portable & openMarkdown-based context. Export, audit, and reuse.
Pricing

Own it once. One price, no subscription.

One local context layer your AI tools share, bought once and run forever. No subscription, no lock-in, nothing ever leaving your servers.

LoomSignalPERPETUAL LICENSE
€1999one-time · perpetual license12 months of updates and support included
Ask a question
What's included
Buy once: perpetual license, no SaaS subscription
12 months of updates and support included
Runs on-premise, no cloud data sync
MCP access for AI tools
Bronze / Silver / Gold document substrate
Portable markdown knowledge layer
Source credentials stay inside your infrastructure
Perpetual license with a full 12 months of updates and support included. After that the software keeps running on your infrastructure, updates optional. No per-seat fee, no usage metering.
Special

Buy now and you get a special price with special conditions.

Teams coming in at this stage pay less than the price above, get their install done hands-on with the founder, and have a real say in what gets built next.

See the founding-team offer
Contact

Bring shared context into your delivery stack.

Tell us what you want to run, where it needs to live, and which tools should consume the knowledge layer.

Answer within one business day
Straight to the engineers who build LoomSignal
No data used to train models.