An LLM is a tool for answering one question. Aitenders is the intelligence operating system for construction — every requirement, version, and validation linked to its source clause.
Book a 25-minute walkthroughGeneric AI writes text from what you paste in. Aitenders is a vertical AI OS for construction tenders and contracts . It reads the full document set, traces every requirement to its clause, and remembers every bid. Not a better chatbot. A different category.
Both are real machines — built for different jobs. Drawn honestly, side by side.
One question, one fluent answer. It doesn't hold your ontology, doesn't remember your past bids, doesn't scale to a team.
Ingests your archive, structures it on your ontology, runs 100+ agents that verify each other, links every conclusion to its source clause.
Generic AI
Aitenders
Sees
What you paste in, one session
Your entire tender and contract archive, any format
Holds
No ontology of your business
Your construction ontology — clauses, costs, risks
Remembers
Not your past bids
Institutional memory across projects
The AI
One general model
100+ construction-specific agents that verify each other
Traceability
A chat history
Every output linked to its source clause · § · v · ✓
COVERS
One question at a time
The whole project — win the tender, deliver the contract
Scales to
One user at a time
Teams , and consortium partners on one matrix
Runs on
The vendor's public cloud
5 deployment options, incl. sovereign & air-gapped
You can't defend an enterprise decision on a chatbot answer. That's the whole difference — and why this isn't a comparison; those are different categories.
You wouldn't — and you shouldn't have to. This is the scale Aitenders runs at today, on Europe's hardest projects:
The same tender, run two ways — every line below is a requirement finding its record.
Not a general AI adapted, not a rigid SaaS. The Foundry adds features on your ontology in weeks — the platform bends to your process.
Cloud, sovereign, your cloud, on-prem, or air-gapped. LLM-agnostic. Native SharePoint, Procore, ERP integrations — live today.
Every risk flag, conformity status, and drafted answer links back to its source clause. The answer always comes with its evidence.
A dedicated Business Transformation Manager embedded in your teams from kick-off to full scale.
Lyon-Turin (€10B). Grand Paris L15 (€2B). Flamanville & Hinkley Point C. If it holds there, it holds anywhere.
Multi-organisation collaboration on one intelligent matrix. Fine-grained rights per partner, commercial autonomy intact.
Four commitments your CIO can verify — not marketing claims.
Never trains models. Microsoft ZDR certified. Per-project isolation by architecture, not policy.
You choose where it runs. No CLOUD Act exposure on EU-sovereign or on-prem.
LLM-agnostic — you choose the model. Air-gap runs local models only.
Every AI action traceable to author, agent, and source clause. Exportable. EU AI Act aligned.
Deployments — Aitenders EU cloud · Sovereign EU cloud · Your cloud (AWS · Azure · GCP) · On-premises · Air-gapped. Every option live today, at production scale.
One answer at a time — or your team's institutional memory.
Bring a real document set. In 25 minutes you'll see it as a requirement register, with the audit trail a buyer could ask for.
Book a 25-minute walkthroughNo. It's LLM-agnostic — you choose the model, and the platform runs 100+ construction-specific agents, your ontology, and a full audit trail on top. The model is a component; the operating system is the product.
For drafting, yes. For the work that decides compliance — full-set requirement coverage, addenda impact, validation records — an LLM answers one question at a time, doesn't remember your past bids, and doesn't scale to a team.
No — it deploys on top of your Microsoft stack, not instead of it. Copilot assists individuals inside documents; Aitenders governs the tender across the team. They coexist at our clients.
Your choice of five deployments, from EU cloud to fully air-gapped — all live today. Data is never used to train models, and isolation is per-project by architecture.