Tallow — Your team's knowledge, one query away

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tallow

Turn Slack conversations into a living knowledge base.

Your team's knowledge is scattered across dozens of tools. Tallow stitches it into a single, searchable knowledge graph — so the right context is always one query away, and your engineers spend less time searching and more time building.

How it works

Set it up once, and let Tallow do the rest.

Your knowledge base

Single source of truth

1

Connect your tools

Link Slack, Confluence, Jira, GitHub, and more. Tallow starts watching your team's activity in the background — no behaviour change needed.

2

Build the knowledge graph

Tallow continuously maps relationships between conversations, documents, tickets, and code — synthesising new context and filling gaps automatically.

3

Query from anywhere

Ask questions from your IDE, a chat interface, or the API. Get synthesised answers with references — not a list of links to read through.

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Slack

Captures decisions and context from conversations as they happen.

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GitHub

Pull requests, code reviews, and commit messages feed directly into your knowledge graph.

Context that couldn't exist before

Tallow joins the dots across tools your team already uses — surfacing answers that no single source could give you.

tallow MCP server
query: "How should I implement auth for the mobile app?"
tallow: Use OAuth2 with PKCE. Sessions via JWTs with 15-min expiry and silent refresh. The team ruled out session cookies due to WebView limitations [1].
Token storage must use the platform keychain — a requirement from the compliance review [2].
Biometric unlock is scoped for v2. Priority is the base flow for sprint 14 [3].
[1] Slack #eng-mobile — auth discussion
[2] Confluence — Security Compliance Q1
[3] Jira MOB-247 — sprint planning
query: "Why was the caching layer removed from the API?"
tallow: The Redis caching layer was removed in PR #892 after it caused stale data issues for multi-tenant accounts. Two enterprise customers reported seeing other tenants' cached responses [1].
The team decided to revert to direct DB queries while a proper cache-invalidation strategy is designed. The perf impact was minimal — p95 latency increased from 120ms to 180ms [2].
A new approach using per-tenant cache keys is proposed in the ADR but hasn't been approved yet [3].
[1] Zendesk #4891 — tenant data leak report
[2] GitHub PR #892 — caching removal
[3] Confluence — Cache Invalidation ADR (draft)
query: "What are the design constraints for the settings page?"
tallow: The settings page must follow the progressive disclosure pattern — advanced options hidden behind expandable sections. This was a specific request from the design review after user testing showed overwhelm [1].
The danger zone (account deletion, data export) needs a separate confirmation step. Legal flagged GDPR requirements for data export within 72 hours [2].
All form fields should auto-save — the team agreed no submit buttons after a Slack discussion about reducing friction [3].
[1] Figma — User testing session notes
[2] Confluence — Legal & Compliance requirements
[3] Slack #design — auto-save discussion

For engineers and coding agents

t
tallow Knowledge Assistant

Where are we at with the pricing page?

The redesign simplifies from four tiers to three, with an annual toggle. Enterprise stays custom-quote only [1] [2].

Engineering has it scoped at 3 points, but it's blocked on marketing copy — Amy flagged this yesterday [3].

Want me to draft a nudge to marketing?

[1] Figma — Pricing v3 mockups
[2] Slack #product — tier confirmation
[3] Jira PRICE-42 — blocked status

Why are pro plan customers churning?

Three patterns are emerging. Most cite the lack of SSO — 6 of the last 9 exit surveys mention it specifically [1].

The CS team also noted that pro customers hitting the 10-seat limit are downgrading instead of upgrading to enterprise, because the price jump is too steep [2].

Product already has an SSO ticket prioritised for next quarter [3]. The pricing gap isn't tracked yet — want me to create a ticket?

[1] Typeform — Exit survey responses
[2] Slack #customer-success — churn patterns
[3] Jira PLAT-118 — SSO implementation

Prepare me for the board meeting on Thursday

Sprint velocity is up 15% since the platform migration completed. The team shipped 3 major features this month [1].

ARR crossed $2.1M — ahead of Q1 target. The new self-serve flow is converting 12% of trials, up from 8% [2].

Main risk: the enterprise deal with Acme is stalled on the SSO requirement. Engineering estimates 4 weeks to ship [3].

[1] Jira — Sprint 12-14 velocity reports
[2] Notion — Revenue dashboard, Feb
[3] Slack #sales — Acme deal thread
Ask tallow anything...

For PMs, designers, and everyone else

MCP Server VS Code Chat REST API

Why tallow

Retrieval tools find documents. Tallow builds understanding — bridging context gaps across your entire organisation and generating analysis that didn't exist before.

Beyond retrieval

AI assistants can search your files. Tallow understands the relationships between them — connecting a Slack decision to a Jira ticket to a PR to generate analysis that no single tool could produce alone.

Always on, not just on demand

Tallow continuously watches your tools in the background — capturing decisions, linking context, and keeping your knowledge graph up to date without anyone having to remember to do it.

Built for AI-augmented teams

Give your coding agents and AI tools the full picture. Product specs, design decisions, and business context — structured and accessible so your engineers and their tools build the right thing, first time.

Be the first to know.

Stop searching, start building. One knowledge graph for your entire team.