AutogenAI pricing, plans and limits

Last updated: 2026-10-13

AutogenAI organises proposal work into five modules, from RFP shredding to final review: Qualify and Extract, Manage, Write, Research and Review. Its Federal edition runs in a closed government environment, and integrations include SharePoint, Salesforce, Zapier and a public API. It is built for bid, tender and grant teams rather than general writing.

About AutogenAI

AutogenAI is an AI proposal-writing platform that launched in February 2022 and is headquartered in New York, with offices in London and Brisbane. Founder and CEO Sean Williams started his career as a bid writer, and the product is aimed at the teams who answer RFPs, tenders, grant applications and pre-qualification questionnaires for a living. The investors the company names are Blossom Capital, Spark Capital and Salesforce Ventures, and its December 2023 Series B announcement put total funding at $65.3M.

The platform splits a bid into five modules. Extract pulls every requirement out of an RFP, and Research Assistant helps a team decide whether to bid at all. Manage turns requirements into a project outline that carries win themes and shared inputs. Write holds the editor, where built-in transformations expand text, add case studies or change tone, and Source Finder traces a sourced sentence back to the library document behind it. Review runs a checking pass before the draft exports to Word or PowerPoint. All of it draws on a knowledge library the customer builds from past bids. A general assistant can draft text, whether that is ChatGPT from OpenAI or Claude from Anthropic, but neither ships with RFP shredding, a requirement-mapped outline or a review pass built for bids.

The company sells three editions: Federal for government contractors, Enterprise for commercial bid teams, and Grant Writer for nonprofits and universities that also write donor reports. Its customer page lists case studies from Serco, Careium and a construction firm. Compare it with GovDash, which concentrates on US government contracting and adds capture and post-award contract management, or look at Jasper, and at the go-to-market focus of Copy.ai, if the job is marketing copy rather than compliance-mapped bid answers. AutogenAI sits in the writing assistant category of the content and writing group, while GovDash is filed under sales assistant tools. For choosing among general writing tools, read Best AI Writing Assistant in 2026; Microsoft Copilot is another general assistant to price against for occasional bids.

Integrations cover SharePoint (from Microsoft), Salesforce and Zapier, plus a public API for uploading documents and managing workflows, so a library can sync from where the content already lives. The vendor says its Federal edition runs in a FedRAMP High environment through Palantir FedStart on AWS GovCloud (see Amazon Web Services), and its trust center also lists SOC 2, ISO/IEC 27001 and GDPR. To compare it with other products that publish the same claims, open the SOC 2 facet, the ISO 27001 facet or the GDPR facet. The vendor's trust center describes it as a Software-as-a-Service platform, and no desktop or mobile app is advertised on the pages HokAI read.

Pricing

Custom, quote-only pricing. AutogenAI publishes no price list or plan table on the pages HokAI read (its /pricing address returns a 404), and the route to a price is booking a demo. It sells Federal, Enterprise and Grant Writer editions, so ask each quote to state the seat minimum, contract term and which modules are included.

GovDash also sells by quote, so request both quotes against the same RFP.

Key Features

• Extract and go/no-go: Shreds an RFP into a requirements list and lets Research Assistant weigh the opportunity against the knowledge library before writers are committed.
• Answer Bank and Q&A Workbooks: Maps stored past answers onto large questionnaires such as PQQs so repeat questions start from approved text.
• Manage and Storyboard: Builds a project outline from requirements, with Project Inputs for win themes and keywords that keep every section aligned to the RFP.
• Editor with Ideator and Ask AI: Turns an outline into a first draft with transformations that expand text, add case studies and statistics, insert win themes or change tone.
• Source Finder: Traces any sourced sentence back to the library document it came from without leaving the Editor.
• Research Assistant: Searches the knowledge library and the internet, with Pro Mode, version Comparison, Black Hat Review and Variables for multi-category queries.
• Gamma Review and export: Checks a draft in one review workflow, then exports to Word or to a pre-formatted PowerPoint deck.
• Integrations and public API: Syncs a library from SharePoint, connects to Salesforce, reaches 8,000+ apps through Zapier and exposes an API for uploads and workflows.

Pros

• G2 lists a 4.3 out of 5 average across 172 reviews (read 2026-10-13), and time saving, efficiency and ease of use are the most-tagged strengths.
• Covers the whole bid in one product, which saves buyers from joining an RFP shredder, a writing tool and a review checklist by hand.
• The vendor states customer data is never used to train public or shared AI models, and publishes a trust center listing SOC 2, ISO/IEC 27001 and GDPR.
• Ships three purpose-built editions, so a nonprofit grant writer and a defence contractor are not forced onto the same configuration.

Cons

• G2 reviewers say drafts can read generic when source material is thin and need human tailoring and word-count trimming, so it speeds first drafts more than it replaces bid judgement.
• Reviewer tags include learning curve and not intuitive, which fits a multi-module platform that needs onboarding; the vendor offers an e-learning Academy to offset that.
• FedRAMP High is described by the vendor as running through Palantir FedStart for the Federal edition only, and HokAI has not confirmed a FedRAMP Marketplace listing, so federal buyers should ask for the authorization package.
• The underlying language models are not disclosed on the vendor site, which names only an in-house engine called Genny-1.

Visit AutogenAI Official Website