Bring a current RFP. See it decomposed on your documents.
Not a canned demo. We run your spec book and drawings through the full pipeline with your estimators, and you judge the output against a project you already know.
- A personal reply within one business day
- You work directly with the founder
- Your documents are never used to train AI models
Four steps, on a project you know
- 01
Intro call
We learn how your team bids today and where the workflow breaks down.
- 02
Pick a project
A current or recent RFP your team knows well, so you can judge the output.
- 03
Run the pipeline
Upload, classify, review, package, bid analysis and proposal assembly.
- 04
Review together
Your estimators check the results against what they would have produced by hand.
What you walk away with
Classified spec sections
Mapped to the WBS format you bid against, or your own, each with a confidence score.
Trade scope packages
Generated by division, ready to review and export as CSV, PDF, Word or Markdown.
Sub bid analysis
On real responses: coverage, exclusions, alternates, qualifications and risk flags.
A working session
On your spec book, your drawings and your addenda, with your estimators in the room.
A direct line to the team
Design partners talk to the people building the product and shape what gets built next.
Your documents stay yours
Encrypted, access-controlled and never used for training. TeraContext.AI can also run in your environment.
Tell us about your bids
Four short answers help us prepare a useful first call. The form drafts an email in your own mail app. Nothing is sent until you press send.
A strong fit: general contractors, construction managers and design-build firms whose spec books run 500+ pages, who bid to subs across many trades, and who have been burned by missed scope.
Prefer to write it yourself? Email [email protected].
Straight answers
Is the platform production-ready?
It is in Early Access (v0.1.0). The core pipeline works end to end: upload, processing, classification, scope packaging, bid management, drawing analysis, query and proposal assembly. We are refining it with a select group of general contractors on real pre-construction work.
How accurate is the classification?
It depends on document quality. Sections with standard numbering are matched exactly; the rest are classified by a language model. Every classification has a confidence score, and your estimators approve all of them before scope packages are built. Typically 70–80% of sections can be confirmed in bulk.
What happens to our documents?
They are encrypted at rest and in transit (AES-256, TLS 1.3), protected by role-based access control with audit trails, and never used to train AI models. The platform can also run in your environment.
What does it cost?
Early Access pricing is set with each design partner. We are working with initial customers to establish pricing that reflects the value delivered to estimating teams. More questions in the FAQ →