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.
Twenty sources on onboarding to synthesize. Reading all of them before I conclude anything.
Clear patterns forming. Three findings recur across most of the set.
Each finding is backed by at least four independent sources. Tagging citations now.
How it works
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.
Sampling 2% of live runs · 96% passing this week
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.
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

"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
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"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
"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
Team it up with more research agents
Market Researcher
Researches a market from live sources into a sourced brief.
Insight Analyst
Finds the one insight in the data that changes a decision.
Interview Synthesizer
Turns customer interviews into themes with verbatim evidence.
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.


