Relevance AI
Relevance AI
NotionGoogle DocsSlackGmail

Twenty sources into findings you can cite

The Source Synthesizer reads every document, reduces them to cited findings, and when two credible sources contradict it shows both and weighs them instead of blending them into mush.

20 sources · onboarding best practice
Source Synthesizer

Twenty sources on onboarding to synthesize. Reading all of them before I conclude anything.

Reading all 20 documents in full12s

Clear patterns forming. Three findings recur across most of the set.

Grouping evidence under each finding4s

Each finding is backed by at least four independent sources. Tagging citations now.

Writing the synthesis with citations2s
Synthesis delivered. Twenty sources reduce to three findings, each backed by at least four independent sources and cited inline. The strongest, that time-to-first-value drives retention, appears in fourteen of the twenty. You can trace any finding straight to the documents behind it.

How it works

20 sources droppedResearch question postedLink collection shared“synthesize these”
Synthesis · 3 findingsEvery finding citedContradictions surfacedSummary posted to #research

Triggered by a stack of sources

A folder of documents, a set of links, or a research question in Notion starts the run. The agent takes the whole stack.

Synthesizes, and shows its contradictions

It reads every source in full, reduces them to cited findings, and when credible sources disagree it presents both and weighs them rather than blending them into a false consensus.

Writes the synthesis back cited

The findings land in Notion or Docs with citations on every line, contradictions kept in the open, and a clear note when the sources do not answer the question.

Without Relevance

With Relevance

A researcher reads what they can before the deadline and skims the rest.

The agent reads every source in full, then synthesizes, so no document is skimmed to save time.

Findings arrive as assertions, with the sources lost somewhere in a folder.

Every finding cites the exact sources behind it, so any claim can be traced in one click.

Conflicting sources get quietly reconciled into one smooth narrative.

The agent surfaces contradictions, presents both sides, and weighs them rather than averaging them away.

The first ten sources shape the conclusion; the rest are read only if time allows.

Every source counts toward the synthesis with the same weight of attention.

Two researchers read the same stack and pull out different findings.

The same synthesis method applied to every source, so the findings do not depend on who read them.

A conclusion gets forced even when the sources do not really support one.

When the sources do not answer the question, the agent says so instead of manufacturing a finding.

Held to a quality bar, on every run

Every synthesis is checked against eval test cases written for this exact job before it reaches you. If a run fails the bar, it never ships.

Source Synthesizer
92959890

Sampling 2% of live runs · 96% passing this week

Every finding cites its sources
96%
Contradictions are shown, not blended
93%
No conclusion is forced from thin sources
87%
Findings weight evidence by strength
91%

Shaped by your team, not a template

Experts and engineers tune Source Synthesizer to your playbooks. Every change ships through the same evals.

Drag and drop

Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.

Drag and drop

Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.

Build with AI

Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.

Build with AI

Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.

Build with MCP

Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.

Build with MCP

Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.

Built for enterprise teams

Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.

AICPASOC 2TYPE II
SOC 2
GDPR
GDPR

Security & data privacy

  • Data residency
  • PII masking
  • Audit logs
  • No training on your data

Access & controls

  • Role-based access control
  • SSO / SAML
  • Human-in-the-loop approvals
  • Version control

Monitoring & oversight

  • Real-time monitoring
  • Full agent tracing
  • Cost visibility
  • OTEL & Delta Share export
KPMG
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

Read more
Autodesk
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."

Allen Roh

Senior Marketing Manager, Autodesk

Read more
Canva
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."

Rob Giglio

Chief Customer Officer, Canva

Read more
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

Read more

Team it up with more research agents

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Researches a market from live sources into a sourced brief.

Rival: PR vs hireFlag the hireBrief the PR

Competitive Intelligence

Tells the competitor moves that matter from the noise.

2.1%
Segment A
3.8%
Segment C
5.2%
Segment B
Insight · lean into B

Insight Analyst

Finds the one insight in the data that changes a decision.

What did all 8 interviews say?
3 themes, each with quotes
Themes written up

Interview Synthesizer

Turns customer interviews into themes with verbatim evidence.

Topic tracked
  1. 1
    Read this week vs last
  2. 2
    Confirmed the shift
  3. Shift reported

Trend Monitor

Watches a space over time and reports when something shifts.

Market Research

Research Report Writer

Assembles findings into a structured, cited report.

Blog cites blog2nd-handEcho
News articlereportedSecondary
Original filingprimaryVerified

Claim Verifier

Fact-checks each claim by tracing it to a primary source.

Every agent you add shares one stack

These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.

  • Triggered by key events or signalslike Zapier
  • Given access to contextlike Zep
  • Connected to your appslike Composio
  • Access to all LLMslike OpenRouter
  • Performance evaluatedlike Braintrust
  • No-code agent builderlike Dust.tt
  • Coordinated into teamslike CrewAI
  • Kept alive through long-running worklike Temporal
  • Traced at every step of every runlike Langfuse

Put the Source Synthesizer to work this quarter

We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.