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AutogenAI

Also known as: Autogen AI, Gamma Review, Bowdleriser

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Entry priceNot published; reported enterprise tierFull pricing detail

UK bid and grant writing platform running multi query agentic research across your content library and trusted internet sources, with automated requirement extraction, compliance checking and a per customer language engine.

AutogenAI is a UK company applying generative AI to bid, tender, proposal and grant writing, founded by Sean Williams, who started his career as a bid writer. It has raised $65.3 million in total, including a $39.5 million Series B co led by Salesforce Ventures and Spark Capital, and has expanded into the United States and Australia. Its market is different from most of this cluster: long form narrative bids for public sector procurement, federal contracting and grant applications rather than repeatable security questionnaires.

The technical claim is depth of research rather than breadth of workflow. The platform runs multi query agentic search across a company's content library and trusted internet sources, supports real time document interrogation, and cites everything it produces, on the stated position that most rivals are prompt tools with proposal templates attached. Gamma Review automates requirement extraction and compliance checking with evidence tracing before submission, which is the closest thing in the product to an autonomous review pass. Extract handles document comparison.

Two distinctive pieces sit outside the drafting loop. The platform builds a language engine specific to each customer, incorporating their brand tone, alongside domain specific models rather than a single general purpose one. And Bowdleriser strips confidential information out of corporate documents to produce externally shareable copies, which addresses the practical reason bid teams cannot circulate their own best material widely.

The gaps are the surrounding process. Reviewers report version control during multi contributor collaboration remains manual, there is no native visual content generation, and pricing sits at enterprise tier in a way smaller teams struggle to justify. Compared with the governed library platforms it competes against on the sales RFP side, what happens before and after the writing step is largely left to the team, which is why it scores lowest of the response cluster on this index despite strong drafting and research capability.

Vendor details

Canonical URL

https://autogenai.com

Category

GTM / revenue agent

Company status

independent

Use cases & customers

Target customers

bid and tender teamsfederal contractorsnonprofits and grant writers

Deployment options

SaaScloud

In practice

You are writing a long form public sector tender, not filling a questionnaire grid. AutogenAI runs multi query agentic research across your library and trusted internet sources and cites what it produces, which is the work that dominates narrative bids.

A tender has a hundred stated requirements and compliance is scored. Gamma Review extracts the requirements and checks the draft against them with evidence tracing before submission.

Your best bid material sits in documents nobody can circulate because they contain client confidential detail. Bowdleriser strips that content out to produce a shareable version.

Agentic Index coverage score

6.5 / 14 capabilities · 46%

Integrations & Tool CallingIngests uploaded corporate documents into a searchable library and reaches trusted internet sources for research, but no CRM, storage or collaboration connector set is documented on the pages retrieved. 2026-08-05 Partial
Workflow OrchestrationTakes a user from raw requirements to a compliant first draft in a few steps, with Gamma Review automating requirement extraction, compliance checking and evidence tracing as a distinct pass before submission. 2026-08-05 Full
Knowledge Grounding & RAGThe core capability: retrieval augmented generation with multi query agentic search across the content library, real time document interrogation and trusted internet source research, with full citation on generated content. AutogenAI agentic AI page 2026-08-05 Full
Human Oversight & GuardrailsDrafts are written for human refinement and Gamma Review checks compliance before submission, but no approval workflow, sign off routing or contributor permission model is documented, and version control during multi contributor work is reported as manual. 2026-08-05 Partial
Security, Identity & GovernanceBowdleriser removes confidential information from corporate documents to produce shareable copies, which is a genuine data protection control, and the platform targets federal and grant work with stated security requirements, but no certification list or trust documentation was retrieved. 2026-08-05 Partial
Observability & AuditabilityEvidence tracing in Gamma Review and citation on generated content make individual answers inspectable, but no audit trail, reporting module or performance analytics is documented. 2026-08-05 Partial
Memory & State PersistenceUploaded documents become a persistent searchable library and the platform builds a language engine specific to the customer carrying their brand tone, but no agent memory or response level version state is documented and reviewers report version control is manual. 2026-08-05 Partial
Deployment & Data ResidencyCloud SaaS only. No self hosted, private cloud or regional data residency option is documented, despite operations across the UK, United States and Australia. 2026-08-05 Unable to verify
Prebuilt Agents, Templates & PacksShips named functional modules including Gamma Review, Extract and Bowdleriser plus sector tailored solutions for federal contracting, grants and nonprofits, but the company explicitly positions against template based competitors and no prebuilt agent catalogue or template gallery is offered. 2026-08-05 Partial
Triggers & Channel CoverageWork begins by uploading a tender, RFP or grant application and covers bids, tenders, proposals, grants and reporting, but no inbound channels, scheduling or event triggers are documented. 2026-08-05 Partial
Model Flexibility & RoutingUses domain specific language models rather than one general purpose model and builds a language engine unique to each customer carrying their brand tone. That is model customisation, though no model selection, routing policy or bring your own key option is offered. 2026-08-05 Partial
APIs, SDKs & MCP ExtensibilityNo public API, SDK, MCP surface, browser extension or assistant connector is documented anywhere in the material retrieved, which stands out in a cluster where four rivals ship assistant surfaces. 2026-08-05 Unable to verify
Testing, Debugging & OptimizationGamma Review acts as an automated compliance and evidence check before submission and Extract supports document comparison, with a stated zero hallucination position, but no evaluation harness, benchmark set or outcome feedback loop is documented. 2026-08-05 Partial
Browser & Computer UseTrusted internet source research is retrieval rather than browser control, and no portal autofill, extension or computer use capability is documented. 2026-08-05 Unable to verify

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Not published; reported enterprise tier

not disclosed

What is public

Nothing on price. Capability and sector documentation is extensive but there is no pricing page.

Billing mechanics

Quote based with no published rate card, tiers or billing unit. Unlike most of the response cluster, no third party procurement estimate surfaced either.

Cost watchouts

Manual version control during multi contributor bids and the absence of native visual content generation both push work back onto the team or into other tools

Variable cost rationale

With no disclosed unit the exposure cannot be modelled. The reported manual collaboration and version control burden is a labour cost that sits outside whatever the licence covers.

Additional watchouts

Independent reviews specifically flag enterprise tier pricing as difficult for smaller teams to justify. Buyers should also scope what the platform does not cover, since collaboration governance and version control around the writing step are reported as manual.

Sales call required

Yes, required for paid access

Free / trial

No published free tier or self serve trial; evaluation runs through a demo request

Commercial notes

The company has raised $65.3 million including a Series B co led by Salesforce Ventures and Spark Capital, and positions around public sector procurement where bid costs already run into millions annually, so the enterprise price point is consistent with the buyer it targets rather than with the SMB end of this cluster.

Key ambiguities

No rate, tier or billing unit is published or estimated in any source retrieved, so the enterprise tier characterisation is directional only. Whether pricing tracks seats, bid volume or generated words is unknown.

Missing data

No rate, no tiers, no billing unit, no third party estimate.

Agentic Index verified 2026-08-05

Alternatives to AutogenAI

The closest documented capability profiles to AutogenAI among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Sybill6.5 / 14Fuller documented coverage on Observability & Auditability
  • AutoRFP.ai7.0 / 14Adds documented APIs, SDKs & MCP Extensibility
  • Sympera AI7.0 / 14Adds documented Deployment & Data Residency and APIs, SDKs & MCP Extensibility
  • Albert5.5 / 14Fuller documented coverage on Triggers & Channel Coverage
  • Octave5.5 / 14Adds documented APIs, SDKs & MCP Extensibility
  • SalesCloser.ai7.5 / 14Adds documented APIs, SDKs & MCP Extensibility and Browser & Computer Use

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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