VERACHI
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For delivery leads and engineering teams

Cited decision memory for teams that need the why to stay attached.

Verachi sits on top of Slack, Jira, GitHub, and uploaded documents to turn scattered conversations into durable decision records with citations, confidence, and audit history. Primary systems stay primary.

Start free See a cited record

Review the public trust and data boundaries page before you log in.

Read-first Slack, Jira, GitHub, and uploaded documents stay linked to the answer
Cited Every answer points back to source evidence with confidence
Auditable Capture, review, and trust posture stay visible in-product and in public docs

Proof, Not Promise

A trusted record shows the answer, the source, and the boundary.

This is the standard Verachi is aiming for in every decision surface: source-backed summary, visible confidence, and a clear path back to the primary system.

DEC-044 Captured from Slack 94% confidence

Use PostgreSQL with JSONB for the multi-tenant event service.

Chosen after comparing MySQL and PostgreSQL during the payments rewrite. JSONB and row-level security fit the tenant model better, and the team accepted the migration cost for query flexibility and long-term auditability.

Why this answer is trustworthy

  • The summary is grounded in linked source artifacts.
  • Confidence reflects how much direct evidence supports the record.
  • The capture path and update history are part of the audit trail.

Linked evidence

  • Slack: #architecture-decisions with the original discussion thread
  • Jira: PAY-218 for the database selection work item
  • GitHub: PR #402 for the migration spike and implementation notes
Audit trail: captured from Slack reaction, reviewed in Verachi, still linked to the primary sources. Review trust details
What Verachi reads

Decision context from the systems your team already uses.

Launch posture focuses on Slack, Jira, GitHub, and uploaded documents. The goal is evidence capture, not replacing the systems where work already lives.

What Verachi stores

Cited summaries, relationship edges, metadata, and audit history.

Primary sources remain primary. Verachi stores the memory layer that makes those sources reusable and explainable across the workspace.

What prospects can verify now

A public trust path exists before login.

Review data boundaries, citations, confidence posture, privacy, and terms directly from the public site instead of hitting an auth wall.

How Verachi Works

Three steps. One connected picture.

Connect your tools, let Verachi process the data, then explore every connection in your mind map.

1

Connect your tools

Slack, Jira, GitHub, and uploaded documents — plug in and go.

2

Verachi processes it

Normalizes, classifies, and cites every data point.

3

Explore your mind map

See every connection between ideas, risks, progress, and decisions.

Why Verachi

Lightweight in the workflow. Rigorous in the answer.

The capture moment stays almost invisible. The trust moment is unmistakable when someone needs the original source.

Source: PR #402

Every answer is cited

Verachi links every claim to its original source — a Slack thread, a Jira ticket, a PR comment. You verify the answer, not the tool.

Zero workflow change

Connect Slack, Jira, and GitHub. Upload supporting documents when needed. There's no new tool to learn, no duplicate forms to fill out, and no forced system switch.

Works in your IDE

Our MCP server lets Cursor, Copilot, and other tools query your team's decision history while you code. Context arrives where you need it.

Customer Stories

Teams stop re-litigating the same decisions.

What changes is not just speed. It is confidence in the answer and calm in the workflow.

We onboarded four engineers last quarter. Before Verachi, each one spent their first two weeks asking “why” questions in Slack. Now they search Verachi and get cited answers in seconds. Onboarding dropped from 15 days to 4.

Sarah Jenkins
Sarah Jenkins
VP of Engineering, TechCorp

The thing I trust about Verachi is that it shows me where the answer came from. I click the citation, I see the original Slack thread. No black box.

Marcus Rodriguez
Marcus Rodriguez
Lead Architect, Innovate.io

We used to re-litigate the same database decision every six months. Verachi ended that loop — the decision is recorded, cited, and findable. Done.

Emma Lin
Emma Lin
CTO, BuildFast

Launch Paths

Evaluate first. Roll out once trust is earned.

The current launch posture is read-first and wedge-first: prove the decision memory layer, then expand the rollout around the teams who rely on it daily.

Self-serve

Start with one workspace.

Best for teams that want to connect the wedge quickly and evaluate cited decision records in the live product.

  • Connect Slack, Jira, GitHub, and uploaded documents
  • Use the app first, then extend into API or MCP workflows
  • Keep primary systems primary while Verachi builds the memory layer
Create a workspace
Guided pilot

Prove the wedge with delivery leadership and engineering together.

Best for teams that need activation help, rollout shape, and a concrete trust review before expanding usage.

  • Align on one buyer story: fewer repeated decisions and less context archaeology
  • Define the first capture path and first visible decision value
  • Review sources, boundaries, and operator expectations up front
Talk to sales
Trust review

Do due diligence without logging in.

Use the public trust path to verify what Verachi reads, what it stores, and how evidence remains traceable before procurement or security review begins.

  • Read the public data-boundaries and trust page
  • Review privacy and terms alongside the product story
  • Use the same trust language your future users will see in-product
Review trust
Trust & data boundaries Product story & demo path Privacy Terms

ROI Calculator

See your potential savings

Calculate how much time and money your team can save by eliminating decision archaeology and redundant discussions.

50
$75
4 hrs

Time spent digging for context or re-discussing decisions.

Estimated Annual Savings

$780,000

Reclaimed productivity value

Hours Reclaimed

10,400

Hours returned to engineering per year

Stop repeating mistakes.

Empower your team with a canonical, cited memory layer. Talk to our sales team to see how Verachi can scale across your organization.

  • ✓ Custom onboarding & data migration
  • ✓ Enterprise SLA & dedicated support
  • ✓ Unlimited integrations