Steerlab is strongest as a lighter security-questionnaire workflow with sourced drafts, confidence scores, human review, and a free first project. AutoRFP.ai is the accuracy-first, AI-native platform for RFPs, security questionnaires, and DDQs: every answer is written from content your team has approved, and shows the sources behind it.
Ranked #44 of 151,264 fastest-growing software products on G2
AutoRFP.aiAI-native
Steerlab
AI security questionnaire automation
Challenges
Steerlab publishes confidence scores and linked source documents. A buyer should ask what the score measures, whether each sentence cites a quoted passage and a named person, and what threshold sends an answer to a reviewer.
A generated answer is only useful when it lands in the right cell or paragraph and the issuer’s original Office structure survives.
Security and procurement teams need current reports, identity lifecycle controls, approval history, and a sample audit export before contract.
So, if you're reviewing your options and looking for an alternative to Steerlab, keep reading…
Comparison
AutoRFP.ai cites each sentence to a quoted passage, a named source, and a named person, then separates source confidence from answer completeness with Trust Score and Feedback Score, and routes unsupported questions to a reviewer.
AutoRFP.ai writes approved answers into the issuer's original Excel or Word file while preserving workbook structure, formulas, macros, and validation lists.
AutoRFP.ai publishes ISO 27001, SOC 2 Type II, regional hosting, SCIM, a Trust Center, subprocessors, approval history, audit controls, and full customer stories.
Comparison
| Capability |  AutoRFP.ai | Steerlab |
|---|---|---|
| AI-native platform (built on generative AI, not added later) | Yes | Yes Built around generative drafting and agent workflows |
| Zero hallucination by design (100% source-grounded answers) | Yes | Partial Sourced answers, confidence scores, and unsupported-answer handling |
| Self-cleansing library that learns from approved answers | Yes | Partial Auto-classifies, deduplicates, and flags stale content |
| Import RFPs from tens of formats | Yes 5,000+ requirements; 500+ page Word files | Partial Publishes Excel, Word, PDF, narrative proposals, and web portals |
| Automatic conflict resolution | Yes | Yes Vendor says the library removes duplicates and conflicts |
| Public, transparent pricing | Yes | No Paid pricing and usage units are not public |
| Unlimited collaborator users (no per-seat fees) | Yes Live co-editing, comments, and assignments | – |
| Slack | Yes | Yes |
| Microsoft Teams | Yes | Yes |
| Built-in translation and localization (44+) | Yes | Yes Native multilingual AI claimed; no public language list |
| Data hosting and support (Americas) | Yes Separate US deployment | No No Americas region published |
| Data hosting and support (EMEA) | Yes Separate EU deployment | Yes European AWS storage; Paris-based support |
| Data hosting and support (APAC) | Yes Separate Australia deployment | No No APAC region published |
| Dedicated support team (24/6) | Yes | Partial 14 Paris-based staff; no published global coverage window |
| Built for mid-market teams | Yes | Yes Free first questionnaire and self-serve trial |
| Scalable to Enterprise | Yes | Partial T&Cs bar HIPAA/FISMA/GLBA; no public MSA/DPA |
| Enterprise Permissions | Yes | Yes Admin, Contributor, and Proposal Manager roles |
| Enterprise Reporting | Yes | Partial Deal insights published; operational reporting depth is not detailed |
| Workload Reporting | Yes | Partial Tracks contributors, sections, progress, and bottlenecks |
| Win/Gap Analysis Reporting | Yes | Yes Go/No-Go, competitor bias, gaps, and win/loss analysis |
| SOC 2 Type II certified | Yes | Yes Primary security page says SOC 2; report type is not stated |
| ISO 27001 certified | Yes | Partial Claimed in vendor content, absent from the primary security page |
Comparison based on public product information and verified user reviews as of August 2026. – indicates the capability isn't clearly documented, or that the row does not apply.
Pricing
Scale
$899/mo
paid yearly
Accelerate
$1,299/mo
paid yearly
Enterprise
Flexible pricing that scales with your business
FAQ
AutoRFP.ai is the Steerlab alternative for teams that need source-grounded answers inside a governed response system. It cites each sentence to a quoted passage, a named source, and a named person, then adds separate Trust and Feedback Scores, exact-format Excel and Word return, sequential approvals, SCIM, a public Trust Center, regional hosting, and response-operations reporting.
Steerlab does not publish paid subscription prices, usage limits, or billing terms. Its first RFP or questionnaire is free, and paid access is contract-based. AutoRFP.ai publishes Scale at $899 per month and Accelerate at $1,299 per month, billed annually with unlimited users, and its evaluation is a free two-week proof of concept with unlimited platform access and implementation support.
Steerlab covers one free RFP or questionnaire. AutoRFP.ai opens the entire platform for a free two-week proof of concept, with your own content connected, unlimited users and usage, and implementation support while your team runs live work. A single document shows a draft; two weeks of real volume shows how the response operation holds up.
Security questionnaires are a clear Steerlab strength. Its public security-team page describes sourced answers, a confidence score on each answer, and explicit handling when the system does not know. Buyers should test those controls on unsupported and contradictory source material.
Steerlab publishes human review, contributors, comments, assignments, confidence scores, and linked source documents on each answer. AutoRFP.ai cites at sentence level to a quoted passage, a named file or connected system, and the person behind that source, then adds a separate Feedback Score for completeness, sequential approval layers, approval-gated shared content, version history, and audit controls.
Steerlab lists Google Drive, SharePoint, OneDrive, Dropbox, Box, Slack, Microsoft Teams, HubSpot, Dynamics 365, Salesforce, Chrome, Confluence, Notion, Okta, Google SSO, Auth0, and Microsoft Entra ID.
Its page dated November 5, 2024 is not an accurate description of the current product. It calls AutoRFP.ai limited on complex requirements, content management, collaboration, integrations, and security. AutoRFP.ai now publishes support for 5,000+ requirements and 500+ page Word files, a dedicated governed content area, unlimited collaboration with any, all, and sequential review, 32 integration entries against Steerlab's 17, and ISO 27001, SOC 2 Type II, SCIM, plus US, EU, and APAC deployments. Buyers should use current product pages and test both products on a live workload.
Steerlab's AWS Marketplace listing says support tiers run from basic email support to 24x7 premium support with an assigned customer success manager. That text sits in the vendor-written support section, and the same page states that AWS does not warrant vendor product content. The company publishes a Paris base, Tracxn lists 14 employees there as of July 31, 2026, and no second office appears on the about page. G2 reviewers do describe support as quick to respond. Teams that need overnight, weekend, or follow-the-sun cover should ask which hours are staffed, from which cities, and against what response targets, then put the answer in the contract.
Steerlab does not publish staffed coverage outside Paris. AutoRFP.ai publishes offices in New York, Vancouver, Stockholm, and Brisbane, with support across North America, Europe, and Asia-Pacific. If overnight or regional cover is a requirement, ask Steerlab for a named window and staffing plan in the contract.
Steerlab is a newer, smaller vendor in the category. It says it was founded in Paris in 2023, announced a $1.9 million pre-seed round in September 2024, and Tracxn lists 14 employees as of July 31, 2026, with no other published office. Its public site shows customer logos and short testimonials, but no full case-study library was found as of August 26, 2026. Buyers should request comparable references and implementation examples.
The June 19, 2026 Legal Terms prohibit use where interactions would be subject to HIPAA or FISMA, and prohibit use that would violate GLBA. They also disclaim warranties, allow deletion of posted content without notice, and limit liability to fees paid in the previous six months. No public MSA, DPA, or SLA was found on August 27, 2026. Request a signed MSA that defines Customer Data ownership before a production evaluation. AutoRFP.ai publishes its MSA, DPA, and SLA on the legal pages.
Run the same difficult questionnaire through both. Include an unsupported question, conflicting sources, a structured Excel workbook, several reviewers, and an identity change. Compare the cited evidence, review routing, audit record, and returned file.
The bottom line
Steerlab is a lighter AI-native option whose strongest public case is the security-team workflow. The longer sourced write-up is AutoRFP.ai vs Steerlab. Generated answers carry sources and confidence scores, and the product says it tells the reviewer when it does not know. Human review, comments, assignments, and project tracking sit around that questionnaire drafting layer.
AutoRFP.ai is the accuracy-first, AI-native platform for RFPs, security questionnaires, and DDQs: every answer is written from content your team has approved, and shows the sources behind it. The review layer uses two separate signals. Citations sit on the sentence: a quoted passage, a named file or connected system, and the person behind that source. Trust Score shows how strongly the content supports a draft, while Feedback Score evaluates whether the response answers the requirement.
Steerlab’s security-team page says every answer comes with a confidence score and that unsupported questions are identified rather than invented. Its features page publishes sourced generative answers, an auto-managed content library, project tracking, comments, and collaboration. Those are genuine strengths for presales and security teams evaluating a newer AI-native product.
Steerlab security-teams page, captured August 26, 2026: sourced answers, a confidence score on each answer, and “If we don’t know the answer, we’ll tell you, we never make it up.”
The free first RFP or questionnaire is another practical strength. A buyer can put one real document in front of internal subject-matter experts before discussing a paid contract.
Steerlab publishes a confidence score per answer and linked source documents. AutoRFP.ai separates the review question into two parts: whether the source supports the draft, and whether the draft fully answers the requirement. Citations sit on the sentence: each claim carries a quoted passage, a named file or connected system, and the person behind that source. Unsupported questions are flagged for a person, while inspectable quotes stay attached to supported sentences.
That distinction is best tested with evidence. Add one unsupported question and two source documents that disagree. Record whether each product drafts, flags, or abstains; what its score measures; and whether the reviewer can open the exact sentence, file, and person behind the claim.
Steerlab’s primary security page publishes SOC 2, AES-256 encryption at rest, TLS 1.2 in transit, customer isolation, European AWS data storage, SSO, MFA, and fine-grained user roles. It does not state the SOC 2 report type or list ISO 27001. European AWS storage is an EMEA fact, not Americas or APAC coverage. Other Steerlab-authored pages claim ISO 27001, so buyers should request the current certificate and scope rather than infer it from either page.
Steerlab security page, captured August 26, 2026: “We are SOC2 and have been assessed against five Trust Services Criterias.” The page does not name Type I or Type II.
AutoRFP.ai publishes ISO 27001, SOC 2 Type II, SCIM, regional hosting, and a self-service Trust Center. The subprocessor register names the services involved. Procurement can inspect those artifacts before a proof of concept.
Steerlab’s integrations page names Google Drive, SharePoint, OneDrive, Dropbox, Box, Slack, Microsoft Teams, HubSpot, Dynamics 365, Salesforce, Chrome, Confluence, Notion, Okta, Google SSO, Auth0, and Microsoft Entra ID.
The published directory names the systems, but does not define the CRM objects, triggers, or write-back behavior. A G2 review dated June 3, 2026 asks for “stronger native integration with some of the smaller consumer service CRMs we use.” Another dated April 24 says its CRM sync was quick and improved sales and engineering collaboration. Buyers should test the exact CRM workflow rather than infer depth from either a logo or one review.
AutoRFP.ai connects the same core knowledge and collaboration stack, then documents the job each connection performs. Salesforce carries intake and two-way project status. Slack and Teams carry review requests and sourced answers. SharePoint, Drive, Box, Confluence, and Notion supply permission-aware content and source links. The integration directory is the current record.
Steerlab publishes Excel, Word, PDF, narrative-proposal, and browser workflows. A G2 review surfaced by AWS Marketplace, dated June 6, 2026, says, “When exporting with structured templates, the formatting sometimes shifts slightly.” That is a useful test condition, not a reason to reject the product.
Use a workbook with formulas, macros, validation lists, nested sheets, and an ambiguous answer column. AutoRFP.ai keeps the original Office file and writes approved answers into its mapped cells or paragraphs. The returned files show whether either workflow matches the issuer’s requirements.
Steerlab offers the first RFP or questionnaire free. Its paid subscription price, usage limits, overages, and billing terms are not public. The AWS Marketplace listing uses private offers and does not define what one billing Unit represents.
AutoRFP.ai publishes Scale and Accelerate plans, both with unlimited users. A buyer can map the response year to a published allowance before procurement.
The evaluation is free on both sides, with different scope. One free questionnaire ends after one document. The AutoRFP.ai proof of concept runs for two weeks with the full platform open, no usage cap, your content sources connected, and implementation support while live work goes through it.
Steerlab’s Legal Terms (last updated June 19, 2026) govern “access to and use of the Services.” They bar use where interactions would be subject to HIPAA or FISMA, and bar use that would violate GLBA. The Services are provided as-is, with no obligation “to maintain and support the Services.” Steerlab may change the terms without specific notice, and may terminate an account and delete posted content “FOR ANY REASON OR FOR NO REASON” without warning. Liability excludes direct damages and is capped at amounts paid in the prior six months. Contributions “may be treated as non-confidential and non-proprietary,” and the terms do not define a Customer Data category that excludes uploaded questionnaires. The privacy notice names Anthropic, OpenAI, Mistral AI, and Cohere as AI processors of input, output, and personal information, and states that Steerlab does not process sensitive personal information. /dpa and /msa returned HTTP 404 on August 27, 2026.
AutoRFP.ai publishes an MSA, DPA, and SLA. The MSA says the customer owns Customer Data and Outputs, and that AutoRFP.ai will not train its or third-party models on that data except tenant-specific models for that customer. Ask whether a signed Steerlab order form replaces the website terms before a production proof of concept.
Steerlab is a newer, smaller vendor. Its about page says it was founded in 2023, is based in Paris, and lists Paris leadership. It does not name a second office. It announced a $1.9 million pre-seed round in September 2024. Tracxn lists 14 employees as of July 31, 2026 at that Paris-based company. A 14-person Paris team is a different implementation and coverage profile from AutoRFP.ai’s published offices in New York, Vancouver, Stockholm, and Brisbane, with support across North America, Europe, and Asia-Pacific. Treat 24x7 and global staffed coverage as contract questions.
Its public site shows customer logos and short testimonials. As of August 26, 2026, no full case-study library with implementation detail and attributable outcomes was found. Buyers should ask for customer calls from teams with similar volume, file complexity, security requirements, and approval structure.
The G2 evidence surfaced by AWS is useful but mixed. Reviewers praise source traceability, ease of adoption, and support. Dated reviews also ask for better reporting, more flexible dashboard exports, stronger native support for smaller CRMs, and more reliable structured-template formatting. Those comments define practical proof-of-concept tests.
Bring a difficult live questionnaire, the content your reviewers already trust, and the real approval policy. Test unsupported and conflicting questions, source inspection, review routing, the returned Office file, and an identity change.
We’d rather show you than tell you: two weeks of your real response workload, unlimited access, and our team alongside yours, then let the reviewers who sign off decide which submission record they trust.
