AutogenAI
Also known as: Gamma Review, Bowdleriser
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 applies generative AI to bid, tender, proposal and grant writing, founded by Sean Williams, who started his career as a bid writer, and launched in February 2022. It sells to bid and proposal teams, federal contractors and grant writers, and its market is long-form narrative bids for public sector procurement, federal contracting and grant applications rather than repeatable security questionnaires.
The platform is organized as a chain rather than a writing tool. Qualify and Extract handles go or no-go assessment and shreds large solicitations into a requirement summary in minutes. Manage runs projects, deadlines, stakeholders and compliance needs, breaking work into tasks assigned across a team so several proposals run at once with real-time collaboration. Write drafts, with a one-click toolbar to expand, summarize, cut words, check grammar, add case studies and win themes, or translate.
Research runs multi-query search across the company's own document library and the open internet, pulls relevant snippets out of text-dense documents and always attaches source links. Review checks the draft for relevance, evidence, grammar and compliance before submission, with Gamma Review automating requirement extraction and compliance checking with evidence tracing. Two further modules sit alongside: Extract for document comparison, and Bowdleriser, which strips confidential information out of corporate documents to produce externally shareable copies, addressing the practical reason bid teams cannot circulate their own best material.
Security and deployment are documented in depth. AutogenAI is FedRAMP High authorized and architected for high-impact federal environments including CMMC 2.0 and DoD IL5, aligned with GCC High, with every customer in a dedicated, logically isolated environment and uploaded documents stored in the customer's selected geographical location.
It holds ISO 27001, ISO 27017, ISO 27018, SOC 2, Cyber Essentials Plus, TX-RAMP and CSA STAR, runs a public trust center, and does not use customer data to train shared models. Rather than fixing on one model, it selects from a range of language models against evaluation criteria its linguistic engineers maintain, and builds a language engine carrying each customer's brand tone.
Work is started by a person, from an upload, a Salesforce opportunity, Zapier or the Public API, with no schedules, event triggers or opportunity feeds. There is no template gallery or prebuilt agent catalog. Individual answers carry their sources, but nothing reconstructs why the agent wrote what it wrote or logs who changed what. No single sign-on or role-based permission model is documented. Pricing is not published, and every route is a conversation with sales.
Vendor details
Canonical URL
https://autogenai.com
Category
GTM / revenue agent
Subcategory
Bid, tender and grant writing automation
Funding status
Independent. Its Series B was reported at $65.3M raised in total, including a $39.5M round co-led by Salesforce Ventures and Spark Capital; the vendor's own pages do not state the figure. Founded by Sean Williams, who began his career as a bid writer. The company states on its own security page that it launched in February 2022. UK-registered, company number 13907128, with a registered office at 1450 Broadway, New York, and Americas, EMEA and APAC properties. Trusted by 200+ companies on its own count, named customers including Serco, Siemens, Fujitsu, Specsavers, Atkins, Mitie, BAM, Arriva, Grosvenor and Priory Healthcare.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
A small native set with an open path behind it. SharePoint syncs the knowledge base so the content library stays current without manual upkeep. Salesforce creates new proposals from opportunities the team is considering. Zapier reaches 8,000-plus applications through no-code custom integrations. A secure Public API uploads documents to the library, integrates with internal systems and automation pipelines, and manages workflows programmatically, though no developer documentation site, endpoint reference or SDK is published. Research reaches the open web by calling APIs against relevant websites. No MCP server is offered.
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.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
8.0 / 14 capabilities · 57%
| Integrations & Tool Calling | Full |
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Three named integrations across three distinct classes, plus an open path to the rest. For document storage and collaboration it connects to SharePoint, syncing the knowledge base so the content library stays current without manual upkeep. In CRM it connects to Salesforce, which acts rather than ingests, creating new proposals from opportunities the team is already considering. For general automation there is Zapier, which AutogenAI publishes as its own integration and which reaches 8,000-plus applications through no-code custom connections, so the connector list is not a ceiling. Alongside those, documents are ingested into a searchable library and the research feature reaches the open internet by calling APIs against relevant websites. By absolute count this is a modest connector set, and its breadth rests substantially on Zapier rather than on native depth. Sourceautogenai.com/product-integrations and autogenai.com/sectors/enterpriseread 2026-09-04 |
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| Workflow Orchestration | Partial |
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A fixed sequence of product stages that people move a bid through. AutogenAI publishes the platform as Qualify and Extract for go or no-go assessment and requirement shredding, Manage for projects, deadlines, stakeholders and compliance needs, Write for drafting, Research for evidence gathering, and Review for relevance, evidence, grammar and compliance before submission, with work broken into tasks across the team and several proposals running at once. That is the vendor's own pipeline, with each stage started by a person: no flow the buyer designs or changes, no branching or conditions the buyer configures, no coordinated agents handing work to one another and no runtime over the flow is documented, although the Public API can manage workflows programmatically. Sourceautogenai.com/product-overview and autogenai.com/sectors/enterpriseread 2026-10-01 |
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| Knowledge Grounding & RAG | Full |
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Retrieval across the customer's own material and the open web, with citation as a stated default. The platform finds information and pulls relevant snippets from text-dense documents buried in the customer's library or across the internet, runs multi-query agentic search over that library, supports interrogating a document in real time, and always provides source links on generated content. The vendor documents the mechanism plainly: the online search feature queries the internet through APIs, collects information from relevant websites and passes it to a language model for processing, and it has three separate methods for handling tabular data depending on dataset size and complexity. Grounding is therefore on the customer's own corporate knowledge plus trusted external sources, and the customer quote the vendor publishes describes exactly the value, an accessible repository of technical solutions built over two decades that was previously locked away. Sourceautogenai.com/product-research and autogenai.com/sectors/enterpriseread 2026-09-04 |
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| Human Oversight & Guardrails | Partial |
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Human review is the stated operating model, without a documented gate. Drafts are produced for a person to refine rather than issued, work is broken down and assigned to named team members so every part of a proposal has an owner, teams collaborate in real time across multiple projects, and the Review step checks the draft against the requirement set before submission. The company applies the same practice to itself, stating in its own site footer that all AI-generated text has been reviewed, approved and verified by humans. No approval workflow, sign-off routing, contributor permission model or confidence threshold that withholds output is documented. Sourceautogenai.com/sectors/enterprise and autogenai.com/product-reviewread 2026-09-04 |
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| Security, Identity & Governance | Partial |
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A broad compliance posture and no documented access model. Certifications on the vendor's pages and trust center include ISO 27001, 27017 and 27018, SOC 2, NIST frameworks, TX-RAMP, CSA STAR, Cyber Essentials Plus, GDPR and CCPA, with an information security program the company states is audited by independent third parties and a commitment that customer data is never used to train public or shared models. The trust center lists multi-factor authentication, password security, data access and access monitoring. No single sign-on, SAML, SCIM or role-based access control is listed, so who inside the buying organization can make the product do what is not documented, and MFA alone is not an access model. On the federal side, the platform holds FedRAMP High and is built for CMMC and DoD impact level environments. Sourcetrust.autogenai.com and autogenai.com/sectors/enterpriseread 2026-10-01 |
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| Observability & Auditability | Partial |
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Individual answers are traceable; the platform around them is not. Generated content carries source links, which the vendor states it always provides for transparency, and the Review step checks a draft for relevance, evidence, grammar and compliance so a reviewer can see what each claim rests on. That makes an answer inspectable. Nothing reconstructs the agent's reasoning or the platform's activity. There is no step-by-step account of why a passage was produced, no audit trail of who generated or edited what, no admin activity log, no configuration change record, and no reporting or performance analytics over proposal work. status.autogenai.com is a service status page, uptime reporting about the vendor rather than observability of the agents. Sourceautogenai.com/sectors/enterprise and autogenai.com/product-overviewread 2026-09-04 |
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| Memory & State Persistence | Not documented |
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An organizational content library and a tuned voice, not agent memory. Uploaded documents become a searchable library that grows with every bid and syncs from SharePoint, the platform builds a language engine carrying each customer's brand tone, and projects persist in Manage with their deadlines, stakeholders and compliance needs. Those are the customer's content, configuration and project records, which are not agent memory; the library grounds answers through retrieval. No per agent state across sessions, retention setting, inspection view or forgetting control is documented. Sourceautogenai.com/sectors/enterprise and autogenai.com/product-manageread 2026-10-01 |
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| Deployment & Data Residency | Full |
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Customer-selected location and a genuinely separate high-assurance environment, both documented first-party. The enterprise FAQ states that when a document is uploaded to the library its text is stored on AWS S3, encrypted with AES-256, in the customer's selected geographical location, which is region selection by the buyer rather than legal cover for a fixed one. The security page adds that all environments are private and isolated by design, with each customer operating in a dedicated, logically isolated environment, and that the platform is FedRAMP High authorized and architected for high-impact federal environments including those operating under CMMC 2.0 and DoD IL5, aligned with GCC High so proposal data moves through connected government systems without additional controls. The company operates Americas, EMEA and APAC properties. There is no self-hosted or on-premises option, and the region list is not published. Sourceautogenai.com/platform/security and autogenai.com/sectors/enterpriseread 2026-09-04 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Sector-shaped editions and named functional modules, with nothing to browse. AutogenAI ships three industry routes, Federal, Enterprise and Grant Writer, each tuned to a different procurement world, alongside named modules including Gamma Review for requirement extraction and compliance checking, Extract for document comparison and Bowdleriser for stripping confidential detail out of corporate documents to produce shareable copies. A one-click toolbar bundles repeated operations: expand, summarize, check grammar, cut words, add case studies, add win themes and translate. None of that is a catalog. No template gallery, prebuilt agent library, play collection or marketplace exists, and the company positions itself explicitly against template-based competitors, so the absence is a design choice rather than an oversight. Sourceautogenai.com/federal and autogenai.com/sectors/enterpriseread 2026-09-04 |
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| Triggers & Channel Coverage | Partial |
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Several ways in, all of them started by a person or another system on request, and no clock. Work enters by uploading a tender, RFP or grant document; from Salesforce, where a new proposal is created against an opportunity the team is considering; through Zapier, connecting AutogenAI into an existing workflow with no-code custom integrations; and through the Public API, which uploads documents and manages workflows programmatically. Coverage spans bids, tenders, proposals, grants and reporting across Federal, Enterprise and grant-writing routes, in Americas, EMEA and APAC properties. Nothing fires on its own. No schedule, recurring run, event trigger, opportunity feed from a source such as a government tender portal, inbound email or webhook listener is documented, and output leaves as an exported document rather than through channels. Sourceautogenai.com/product-integrations and autogenai.com/product-qualify-and-extractread 2026-09-04 |
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| Model Flexibility & Routing | Partial |
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The vendor chooses from a range of models; the customer does not. The FAQ answers this directly: AutogenAI selects from a range of language models against evaluation criteria developed by its linguistic engineers, weighing speed, perceived intelligence and the diversity of training data, and states that the platform constantly updates with the latest models and that its ongoing evaluation of large language models is what delivers tailored, private results. The company also runs its own named engine, General Language Engine 1, and builds a language engine specific to each customer carrying their brand tone; tuning a model to a customer's voice is not the customer choosing the model. That is documented internal selection across multiple models. No model list, no routing policy stating which model handles which task, no per-project or per-workspace selection, and no bring-your-own-key option anywhere on the property. Sourceautogenai.com/sectors/enterpriseread 2026-09-04 |
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| APIs, SDKs & MCP Extensibility | Full |
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A public API with write access, documented on the vendor's own integrations page. AutogenAI publishes a secure Public API for those who want more control and flexibility, with three named capabilities: uploading documents to the library through secure API requests, integrating with the customer's internal systems and automation pipelines, and managing workflows programmatically. That is the platform callable from outside and able to act, not merely readable. No developer documentation site, endpoint reference, OpenAPI specification, SDK or client library is published, and no MCP server is offered. The Learn More control routes to a demo booking rather than to docs. The Zapier connector reaching 8,000-plus apps is Zapier's extensibility rather than AutogenAI's. Sourceautogenai.com/product-integrationsread 2026-09-04 |
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| Testing, Debugging & Optimization | Partial |
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A compliance check the customer runs against a criterion, with nothing compared. The Review stage assesses a draft for relevance, evidence, grammar and compliance and confirms the response actually answers the requirement set, and Gamma Review automates requirement extraction and compliance checking with evidence tracing before submission. That is a mechanism operating on the artifact the agents produced, held by the customer rather than run internally. Nothing runs a controlled comparison. There is no scored evaluation set, benchmark, regression check when the language engine or library changes, comparison of one configuration against another, or sandbox in which to test before a draft reaches a reviewer. The evaluation criteria the vendor applies when selecting language models are its own internal work, and the stated zero-hallucination position is a claim rather than a test surface. Sourceautogenai.com/product-reviewread 2026-09-04 |
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| Browser & Computer Use | Not documented |
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Research reaches the web through APIs, not through a browser. The vendor documents the mechanism itself: the online search feature works by searching the internet using APIs, collecting information from relevant websites and sending it to a language model for processing. That is retrieval, and it is the only place the product touches anything outside its own environment beyond authenticated connectors to SharePoint, Salesforce and Zapier. No browser control, headless session, portal autofill, submission into a procurement portal, browser extension or computer-use capability is documented. Sourceautogenai.com/sectors/enterprise and autogenai.com/product-researchread 2026-09-04 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented 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; quote only
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, and no third-party estimate is on record.
Cost watchouts
No billing unit or rate is published, so cost cannot be sized before a sales conversation.
Variable cost rationale
With no disclosed unit the exposure cannot be modeled from first-party material.
Additional watchouts
Buyers cannot size spend without a sales conversation.
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 is reported to have raised $65.3 million, including a Series B co-led by Salesforce Ventures and Spark Capital, and positions around public sector procurement, federal contracting and grant writing.
Key ambiguities
No rate, tier or billing unit is published, so whether pricing tracks seats, bid volume or generated words is unknown.
Missing data
No rate, no tiers, no billing unit, no third party estimate.
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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.
- Custify10.0 / 14Fuller documented coverage on Security, Identity & Governance and Triggers & Channel Coverage
- Planhat10.0 / 14Fuller documented coverage on Security, Identity & Governance and Triggers & Channel Coverage
- Vitally9.5 / 14Fuller documented coverage on Security, Identity & Governance and Triggers & Channel Coverage
- AutoRFP.ai11.0 / 14Adds documented Browser & Computer Use
- Creatio11.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Security, Identity & Governance
- SalesCloser.ai8.0 / 14Adds documented 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