What is an AI construction estimator?
An AI construction estimator is software that uses machine learning to convert construction inputs (drawings, BoQs, specs, photos) into priced bid estimates. It typically combines computer vision (for drawing takeoff), natural language processing (for spec parsing), and retrieval-augmented generation (for matching against historical bids or price databases). bidyou.ai falls in this category but with a specific approach: per-tenant training on YOUR historical bids rather than a single global model.
How accurate is bidyou.ai's AI matching?
Top-1 dictionary match accuracy is around 75% across the baseline 130k+ multilingual mappings. Semantic fallback (768-d sentence-transformers, mpnet multilingual) catches another layer. Confidence is reported per-line. Low-confidence lines are flagged for human review. Accuracy improves continuously as your tenant's historical corpus grows — by month 3 of active use, most contractors see 85%+ top-1 on their own item descriptions.
Why not just use ChatGPT or Claude for estimating?
Three reasons. First, generic LLMs don't have your historical pricing — they hallucinate or quote stale public-web prices. Second, they don't do quantity takeoff from drawings (no YOLO/computer-vision pipeline). Third, GDPR: your BoQs are commercially sensitive; sending them to a US-hosted LLM is a data-residency violation in most EU jurisdictions. An EU-hosted estimator with private supplier lists, local inference, and per-tenant history isolation is the only architecture that handles all three.
Which model does bidyou.ai use?
Qwen3 family models running locally on owned EU GPUs (NVIDIA RTX 5070 Ti and 5090 series). Multilingual sentence-transformers (mpnet, 768-d embeddings) for vector search. PaddleOCR for scanned-document text extraction. YOLOv11 for drawing block detection. All inference is local — zero third-party LLM API calls, zero data egress.
How does bidyou.ai compare to Togal, Kreo, Beam, Handoff?
Togal and Kreo are strong on quantity takeoff from drawings; Beam and Handoff focus on AI-generated estimate drafts. None ship per-tenant model training on your historical bids — that's bidyou.ai's wedge. None offer integrated live retailer pricing for BoQ items. EU/GDPR positioning is unique to bidyou.ai. Pricing also undercuts: sub-€100/mo cloud SaaS vs. their $99–$299 range.
When does bidyou.ai launch publicly?
Private beta open now for English-speaking markets (UK, IE, US, AU, CA). Free tier (3 active projects, no credit card) lets you try the matching against the seed database immediately. Public launch with multi-currency, multi-tax-regime, and additional language coverage (DE/FR/ES rolling out) follows during 2026. Founding-customer pricing locks in for early adopters.