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Sales · Professional Services · IT Services · Manufacturing · Telecom

Every Bid You've Won Contains the Blueprint for the Next One.

Squirro indexes your entire proposal library, learns from your wins, and drafts cited answers in seconds so your best content is always found, and every RFP response gets smarter than the last.

Make Money Deploy in 4–8 weeks Medium Effort
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Trusted by Industry Leaders

Zwickroell Henkel Siemens OCBC Bank Candriam Bertelsmann IDB Invest Security Benefit

Measurable Impact

Colleagues working through requests together
50% reduction in bid preparation time
$20K average cost per RFP

Evidence in Action

Watch Squirro Accelerate RFP & Proposal Responses from Question to Final Draft.

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How it works

From RFP Received, To Draft Response Assembled.

Past winning proposals, proven proof points, case studies that closed deals — it's all there, buried in folders nobody searches under deadline pressure. Squirro indexes the entire proposal library, drafts cited answers from the highest-performing content, and learns from outcomes so every RFP response gets smarter than the last.

01

INTAKE

RFP received and questions extracted

Upload the RFP or connect your intake channel. Squirro extracts and categorizes every question automatically with no manual triage.

Upload & extract Enterprise Knowledge Discovery Platform · Helvetia Mutual Insurance Group RFP-2026-114
sample-rfp.pdf 412 KB · 9 pages
4 of 6 sections · 20 requirements so far71%
7mandatory
4eligibility gates
7questions
9submission rules
01Uploading sample-rfp.pdf to the ephemeral file bucket — not the index 02Converting PDF to markdown · 9 pages 03Splitting by heading · 6 sections · schema-enforced extraction 04§2 Eligibility criteria · 4 requirements 05§3 Mandatory functional and technical · 7 requirements 06Extraction complete · 27 requirements · deadline 28 Aug 2026 detected
02

RETRIEVAL

Past proposals and capability documents searched

Semantic search across your entire proposal library, case studies, and approved content. Results ranked by relevance and win/loss outcome, not just recency.

Drafting & review Drafts grounded in the approved answer library, reviewed by people MC · Bid Manager
QST–4.2 · Answer library 0 documents searched
DocumentRel.
AI Assurance Framework 2026 — grounding and citation controls§2 Grounding pipeline · p.5 · Product documentation 96%
Past proposal — Nordbank Group Knowledge Platform (2025)§5.4 Retrieval and ranking · p.31 · Past proposal · won 91%
Performance Benchmark Report 2026 — hybrid search at scale§4 Latency under concurrent load · p.11 · Report 78%
Security Whitepaper v4 (2026)§3.1 Cryptographic controls · p.12 · Product documentation 64%
Owner and last approval for reuse travel with every source. The tender itself never enters the library.
03

RESPONSE

Cited draft answers generated

Draft responses assembled from your highest-performing approved content. Every claim traces back to a source document. SMEs review and refine rather than starting from scratch.

Drafting & review 17 of 18 drafted · 1 failed · 9 skipped (submission rules) AI drafted
QST–4.2Question §4 Q2 · p.6 · Confidence Strong
Requirement as extracted
Explain how your generative question-answering capability prevents fabricated answers, and how cited sources are selected and ranked.
1AI Assurance Framework 2026§2 Grounding pipeline · p.5 2Past proposal — Nordbank Group (2025)§5.4 Retrieval and ranking · p.31
Draft · proposal text

We prevent fabricated answers by grounding generation strictly in retrieved passages: the model is constrained to the supplied evidence, and every statement is checked against a supporting passage before release.1

Sources are selected by hybrid retrieval over the repositories the user is entitled to see, re-ranked by a cross-encoder, and cited at passage level with page references.2

Where the evidence is insufficient the assistant says what it cannot confirm rather than completing the answer.1

Every figure and name came from a document in the library, not from the model’s memory.
04

OUTCOME

Proposal assembled and institutional knowledge captured

Final response submitted. Outcome tagged. The system learns so that next time a similar question arrives, it knows which approach won.

Document Compile is gated on human approval of every must-win item 0%
Readiness checksgate, not guidance
  • Every mandatory and eligibility requirement approved11 of 11
  • Questions approved7 of 7
  • Submission rules acknowledged9 of 9
RFP-2026-114

Enterprise Knowledge Discovery Platform

Proposal response for Helvetia Mutual Insurance Group · Group IT Procurement

Executive summary

Northlake Software proposes an enterprise knowledge discovery platform covering hybrid search, grounded question answering with source attribution, and knowledge governance across the client’s three legacy repositories.

Eligibility

ELG–2.2 We hold ISO/IEC 27001:2022 certification covering the platform, its operation and the delivery organisation, valid until March 2027.

Approved answers only · no sources · no citation markers

Integrations

Connect Seamlessly with Your Existing Data

Break down data silos and integrate all of your existing data, creating a single source of truth.

Data source connectors for the RFP & Proposal Response Agent

Your Expansion Path

Start Here. Scale Across Revenue.

Each stage increases win rate, reduces cost-per-bid, and builds a compounding intelligence advantage. This is a transformation journey, not a standalone tool.

  1. 01 To start

    RFP & proposal response agent

    Semantic search across past proposals, AI-drafted answers with citations, and win/loss learning. Live in 4–8 weeks.

  2. 02 Next

    Competitive intelligence agent

    Aggregate news, filings, and analyst reports on competitors into a searchable briefing platform. Know what you are up against before you write a word.

  3. 03 Next

    Client & account meeting prep agent

    AI-generated briefings pulling CRM data, past proposals, and account history so that every client conversation starts with full context.

  4. 04 Vision

    AI-driven deal strategy agent

    A connected revenue intelligence layer spanning proposal knowledge, competitive signals, win/loss analysis, and deal coaching that compounds with every bid you submit.

Our Platform

Connect Once, Govern Once, Reuse Everywhere.

Most enterprises rebuild the same plumbing for every AI project — connectors, governance, retrieval, audit. Squirro builds it once. You extend it.

Squirro Platform Copy-1

One Platform. Limitless Workflows. Ready to Deploy.

Ready to Deploy

Start Where the Friction Is.

RFP and proposal response generation, competitive intel gathering, and client meeting prep each create friction differently in every org. We work with sales teams to map the most strategic path to value and to deploy quickly where the friction is sharpest.

Share your details with us to discover the use case, discuss how it fits your stack, or explore a deployment.

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