AutogenAI
Turn RFP requirements into scored, compliant first drafts written from your own content library
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Most bid time goes on getting from a blank page to a draft worth reviewing. AutogenAI is a proposal writing platform that extracts the RFP requirements, builds the outline, then drafts answers from your own content library, the web or sources you choose, with one-click edits to expand, cut, translate or add evidence. Gamma Review then scores each draft against the evaluation criteria before it goes to submission.
Features & Capabilities
Why Choose Us
AutogenAI generates new narrative rather than retrieving stored answers. It routes each task across several third-party models, including OpenAI, Anthropic, Mistral and Cohere, under zero data retention agreements, and grounds the output in your library. A separate AutogenAI Federal edition runs inside Palantir FedStart on AWS GovCloud, with US-only data and US-persons-only access, for contractors handling CUI.
Customer Reviews & Ratings
No reviews available.
Success Stories
Serco
Serco ran AutogenAI impact pilots across its knowledge management work, used the platform more than 6,000 times, then signed a three-year deal to deploy it globally. AutogenAI reports an 85% productivity gain.
Leading Global Construction Company
A $2.5B construction firm integrated AutogenAI to accelerate bid writing, achieving a 96% increase in submissions, $25M added revenue, and sustained 1-in-2 win rates.
Careium
Careium uses AutogenAI to automate drafting, ensuring tone and consistency. The result: 12 bids in 3 months, 70% faster drafting, and higher quality recognized by commissioners.
Pricing Plans
Contact for pricing
Integration Ecosystem
Security & Compliance
Certifications
- ISO 27001
- Cyber Essentials Plus
- AICPA SOC
- CSA STAR
- CCPA
- TX-RAMP Certified
- US Air Force-accredited
- External penetration testing
Compliance
- FedRAMP High
- GDPR Compliant
- NIST 800-53
- EU AI Act
- Zero Data Retention (ZDR) enterprise agreements with AI model providers
- Zero External AI Training
Supported Languages
Related Content
Frequently Asked Questions
Does AutogenAI use open source LLMs?
No. Where there is a requirement we can provide a bespoke solution using an open source LLM.
What specific models does AutogenAI use?
We normally agree the choice and location of LLMs and LLM providers as part of onboarding and will always notify and receive approval for any changes in choice of provider during contract delivery. **We may use the following providers:** **OpenAI (GPT-3.5, GPT-4)** OpenAI servers are located in the USA. They are SOC 2 compliant, undergo annual penetration testing, and comply with GDPR and CCPA. OpenAI do not retain, train on or learn from our data. **Azure (GPT-3.5, GPT-4 by OpenAI)** Azure OpenAI servers are available in many regions including the USA, EU, UK, and Australia. Azure OpenAI services are FedRAMP authorised. Microsoft and Microsoft Azure possess numerous security accreditations including SOC 2 and ISO 27001. Azure OpenAI does not retain, train on or learn from our data. **AWS (Command by Cohere, Claude 2 and Claude 3 by Anthropic, Large and Mixtral by Mistral)** AWS offers Bedrock and SageMaker LLM services. These services host models created by numerous LLM developers. Both services are governed by standard terms, and we have confirmed that neither service retains, trains on or learns from our data. **Cohere (Command)** Cohere servers are located in the USA. Cohere are SOC 2 compliant and undergo annual penetration testing. Cohere do not retain, train on or learn from our data.
Does AutogenAI use our data to train their models?
No. Your privacy and data are paramount to us. We never train models on your data, and neither do any LLM providers that we use. This is assured through contractually binding Zero Data Retention agreements which we have reached with each provider and which prevents them from retaining or learning from your content in any way.
How does AutogenAI handle federal compliance requirements?
AutogenAI Federal is a separate edition hosted through Palantir FedStart on AWS GovCloud, with US-only data storage and US-persons-only access. It is named in Palantir's FedStart package FR2315464863 on the FedRAMP Marketplace, which is FedRAMP Certified at the High level. Buyers should confirm AutogenAI Federal by name in that listing and ask which security controls remain their own responsibility. Gamma Review checks drafts against the solicitation's requirements before submission.
What should we expect in terms of speed and output improvements?
AutogenAI reports around 70% faster drafting and up to 85% productivity gains, and cites win-rate improvements from its own customer surveys and commissioned research. These figures are vendor-reported and have not been independently verified by stargazy. G2 reviewers consistently mention significant time savings on first drafts.
Is migration from an existing proposal library or CRM smooth?
While AutogenAI offers high-touch onboarding support—including handled imports and content ingestion—there is limited public documentation on self-service content import tools. Content library updates may require vendor assistance.
How much does AutogenAI cost?
As of October 2026, AutogenAI does not publish pricing. It sells annual contracts quoted after a sales conversation, which third-party sources describe as per-seat, and the vendor states that onboarding is included. Buyers should ask for the seat minimum, renewal uplift terms and what the Federal edition adds.
Is AutogenAI FedRAMP authorized?
Yes, through Palantir. AutogenAI Federal is named in Palantir's FedStart package FR2315464863 on the FedRAMP Marketplace, which is FedRAMP Certified at the High level, the status previously called FedRAMP High authorized. AutogenAI does not hold its own separate FedRAMP package, and its commercial platform is not covered. Buyers should confirm AutogenAI Federal by name in that listing and ask which security controls remain their own responsibility.
What is AutogenAI best for?
AutogenAI is best suited to large bid teams writing long, scored, narrative-heavy responses at volume, particularly UK public sector suppliers and US federal contractors. It is a weaker fit as the primary tool for high-volume security questionnaires or for opportunity discovery.
AutogenAI vs Responsive: which should we choose?
Choose AutogenAI if your bottleneck is writing persuasive long-form answers and scoring them against evaluation criteria before submission. Choose Responsive if your bottleneck is answering large volumes of repeat questions from a managed content library.
What are the best AutogenAI alternatives?
It depends on the gap you are filling. Responsive suits library-driven RFP volume. GovSignals suits defense work involving CUI. GovDash suits small and mid-tier federal contractors. VisibleThread suits teams whose priority is compliance checking rather than drafting.
How does stargazy evaluate AutogenAI?
stargazy evaluates vendors independently for its annual Proposal & Bid Software Report and vendor directory. AutogenAI is a paid partner in stargazy's Orbits programme, appears as a featured vendor, and was an early investor in stargazy. These relationships do not influence stargazy's assessment.