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AItenders

AI copilot for AEC tender analysis, proposal writing, and contract execution tracking

Aitenders is a SaaS platform for construction, engineering, and infrastructure teams that uses AI to analyze tender and RFP documents, draft proposal responses from a knowledge base of past submissions, and track compliance and deliverables from bid through contract execution.

Prior venture round sizes not publicly disclosed. As of an April 2026 update, Aitenders is going public via a proposed reverse takeover (RTO, announced Dec 2025) of CSE-listed shell eXeBlock Technology Corporation (CSE: XBLK.X) - valuing Aitenders' shares at roughly $31.5M CAD (54M shares at $0.5833/share) - alongside a concurrent subscription-receipt financing of up to $2.4M CAD; the transaction had not closed as of the April 2026 announcement and the resulting entity is expected to be renamed "Aitenders Technologies Inc." Vendor reports $1.5M+ ARR (2025) and recognition/backing from CEMEX Ventures, Caterpillar, and Hilti (winner, Construction Startup Competition 2025), plus participation in TotalEnergies' startup accelerator and an HEC Paris incubator partnership. raisedGrowth Stage
Founded 2019 · "Trusted by 150+ project teams" per the vendor homepage, with named client logos including Veolia, Equans, Colas, Vinci Construction, and Bouygues Travaux Publics. Investor materials (Dec 2025 RTO announcement) state enterprise customers include "three of the top five largest construction companies in both Europe and North America." Vendor also reports €150B in project value managed on-platform, 5,000+ AI-augmented users, and 300K+ documents processed to date. At $1.5M+ ARR and modest disclosed financing relative to a 7-year-old company, this sits at Growth Stage rather than Established despite the company's age and enterprise logos.
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Why This Tool Exists

The Problem

Bid, legal, estimating, and project teams at construction, engineering, and infrastructure firms must manually cross-reference requirements, contradictions, and compliance criteria across tender packages that can span 500+ pages and dozens of documents, under tight submission deadlines. Requirements or clause-level risks missed during this review can resurface as legal or cost exposure later, during contract execution.

The Solution

Aitenders uses AI to ingest up to 5,000 documents (PDF, Word, Excel, ODT, ZIP) per project across 15 languages, automatically extracting requirements and flagging contradictions and clause-level risks to build a compliance matrix with assigned owners ("Analyze"). A "Write" module drafts proposal responses by searching a knowledge base of past proposals, standard answers, resumes, and case studies, while a "Deliver/Pilot" module tracks requirements through to contract execution, monitoring deliverables, versions, and change history.

How You Use It

Delivery Method
SaaSWeb App
Integrations
Microsoft Word (Word Add-in for drafting)
Disciplines
Project Phases
Bidding/Procurement, Construction Administration
Project Types
Infrastructure, Commercial, Industrial

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Tender/RFP documents
Optional:Past proposals, resumes, and case studies for the knowledge base, Contract and execution documents for the Deliver/Pilot module
Formats:PDF, Word (.doc/.docx), Excel, ODT, ZIP
Output
What you get
Format:Structured requirement/risk data, compliance matrix, drafted proposal content, and an execution audit trail
Fields:Extracted requirements, Flagged contradictions and clause-level risks, Compliance matrix with owners, AI-drafted proposal sections, Deliverable/obligation tracking and version history
Algorithm
How it works
Model:Proprietary AI/NLP models; vendor discloses no named LLM architecture or third-party model provider. Vendor explicitly states tender/project data is never sent to public LLM providers ("No data is sent to OpenAI, Mistral, Anthropic, or any other public LLM provider. Ever.") - inference runs on the company's own infrastructure.
Accuracy:Vendor claims "up to -70% analysis time saved" and "100% critical criteria verified & documented," and a case study cites "~20% time saved" on a 9,148-document project; no benchmark methodology, precision/recall figures, or independent validation is published.
Privacy
How your data is protected
Retention:Per the published privacy policy, personal data is deleted upon request or once no longer required for the purpose it was collected; accounts inactive for 3 years are auto-deleted. Longer retention applies where required by law (e.g., tax/commercial) or to defend legal claims. Retention terms specific to uploaded tender/project documents are not separately spelled out.
Training:Not publicly specified whether customer documents are used to train or improve AI models.
Compliance:Vendor claims GDPR compliance and states the platform is "Zero Data Retention (ZDR) certified," and offers on-premise/self-hosted deployment for procurement-sensitive organizations, No SOC 2 report, ISO 27001 certification, or other independently issued compliance certificate was found published on aitenders.com
API
Integration
Endpoint:Contact vendor for API access - no public developer/API documentation portal found
Method:Not publicly specified

Use Cases

  • ·Automated tender/RFP document analysis - requirement, risk, and contradiction extraction across up to 5,000 documents per project
  • ·Go/no-go bid decision support via structured criteria detection ("Tender Analysis in 48h")
  • ·AI-assisted proposal drafting from a searchable knowledge base of past submissions, resumes, and case studies
  • ·Compliance matrix creation with owner assignment and approval tracking through submission
  • ·Post-award contract execution tracking - requirement-to-deliverable mapping, obligation tracking, and change/version control

Pricing

Free
No self-serve free tier disclosed; vendor offers a "Pilot/test" deployment option for evaluation (terms not publicly detailed)
Pro
Not publicly specified - vendor investor materials describe pricing "by team member license or project license," but no rate card is published on aitenders.com
Enterprise
Custom pricing for a dedicated enterprise instance with SSO and SLA; contact vendor via aitenders.com
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Research Sources & Data QualityLast verified: 2026-07-16
Verified Data (9)
problem, solution, deliveryMethod, yearFounded, headquarters, customerBase-named-logos, fundingTotal-RTO-transaction, privacy-website-data-retention, hosting-infrastructure-claim
Not Found (8)
api-documentation, algorithm-model-name, independent-accuracy-benchmark, named-third-party-AEC-software-integrations, itemized-pricing-tiers, soc2-report, iso27001-certification, ai-training-data-policy
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.