Nivorqa Labs

Construction intelligence source-package review

Deterministic-first modules for construction software buyers

Deterministic-first construction workflow modules with documented AI/ML upgrade paths.

Nivorqa Labs is a controlled buyer-review surface for qualified construction software buyers assessing source-package fit before deeper disclosure.

Open review questionnaire View review pack

Review-ready modules: Change Order & Claims Intelligence, Project Risk Intelligence, Subcontractor Cost Control & Margin Leakage.
Claims Pro AI evaluation path is evidence-gated.
Deterministic-first modules with documented ML upgrade paths.
AI-augmented positioning requires controlled technical review.
BOQ / Cost Intelligence and Tender Comparison & Award remain proposal-stage only.
Public site does not claim production validation.
Synthetic product preview. No buyer records shown.

Static Astro site. Mailto-only contact. No fake customer proof, forms, CRM or public pricing.

Best fit: Built for platforms, ERP vendors, integrators and strategic buyers reviewing workflow module fit.
Not a fit: Self-serve trials, public source access, fake proof, pricing requests or guaranteed outcome expectations.
Review format: Start with the questionnaire or technical review path, then route by module maturity.
Commercial boundary: Deeper source-package review requires qualification, agreement and NDA where appropriate.

Operating context

Built from construction workflow experience

Built from construction workflow experience and packaged for technical buyer review across claims, risk and margin workflows, without implying a large team, public source access or production AI availability.

Operating posture

Small, technical and qualification-led.

The public site is built for qualified buyer review, controlled technical diligence and enterprise partner conversations.

Deterministic-first module baseline.
Claims Pro controlled-pilot AI review path.
Controlled technical review before deeper disclosure.

Boundary

Credibility without inflated proof.

No customer proof, funding, revenue, team-size or certification claim.
No public source-code download, free sandbox or automatic access.
No production AI availability, legal advice or guaranteed outcomes.

AI approach

Deterministic-first. AI where it earns its keep.

Every module keeps an auditable deterministic baseline. Claims Pro is presented as an AI evaluation path until controlled technical review confirms the implementation and eval evidence; Risk and Subcontractor document tenant-specific ML upgrade paths when data readiness criteria are met.

Evidence-gated AI

Change Order & Claims Intelligence Pro has a Claims Pro AI evaluation path.

The public site treats clause extraction, narrative structuring and analogous case search as controlled-review evidence until implementation status is confirmed.

AI is additive, feature-flagged and human-verified.
Eval harness evidence can cover prompt version, model id, input hash and task metrics under controlled technical review.
Public site does not claim production validation or completed AI implementation.
No claim outcome prediction, legal advice, entitlement assessment or autonomous decision.

Other modules

Risk and Subcontractor stay deterministic-first.

Their public module routes document ML upgrade paths by tenant after data readiness, labels and evaluation design are validated.

Project risk: Deterministic risk scoring, exposure review, early warning summaries and audit trail support.
Change orders and claims: Claims Pro controlled-pilot AI review path covers AI-assisted extraction, structuring and analogous case search evidence on top of a deterministic baseline.
Subcontractor cost control: Subcontract package review, margin leakage indicators, payment exposure and commercial control reporting.
Proposal-stage workflows: BOQ cost intelligence and tender comparison remain available under scoped buyer proposal.

Read AI approach ML readiness Model governance

Review-ready source-package offers

Primary routes for qualified review.

Three modules are positioned for source-package fit, integration and commercial diligence.

Compare routes

Module 01

Review-ready source-package offer Eval-gated AI path, deterministic-first Claims Pro AI evaluation path

Change Order & Claims Intelligence Pro

Deterministic-first change-event and claim-readiness workflows with a Claims Pro controlled-pilot AI review path for controlled technical review.

Commercial boundary

Claims Pro AI evaluation path is evidence-gated and activated in pilot under controlled discussion.

Synthetic product preview. No buyer records shown.

Capabilities

Deterministic evidence completeness review
AI-assisted contract clause extraction evaluation path with verifiable citation
AI-assisted change event narrative structuring evaluation path

+6 more capabilities on the detail page

Contract management platforms Defects and issues management platforms +4 buyer contexts

Review package

Module 02

Review-ready source-package offer Deterministic-first with ML upgrade path

Project Risk Intelligence

Auditable project risk intelligence for construction platforms, PMO teams and project-control workflows.

Commercial boundary

Source-package review and licensing discussions require qualification, commercial fit and separate agreement.

Synthetic review-ready Project Risk Intelligence preview for controlled buyer diligence, showing risk register, deterministic scoring, cost exposure, schedule exposure, early warning signals and executive summary. — Synthetic product preview. No buyer records shown.

Capabilities

Deterministic risk scoring
Cost and schedule exposure review
Risk register intelligence

+3 more capabilities on the detail page

Construction-tech vendors PMO platforms +3 buyer contexts

Review package

Module 03

Review-ready source-package offer Deterministic-first with ML upgrade path

Subcontractor Cost Control & Margin Leakage

Subcontract package tracking and margin leakage review for construction commercial teams, ERP vendors and cost-control platforms.

Commercial boundary

Decision-support and commercial-control module.

Synthetic review-ready Subcontractor Cost Control and Margin Leakage preview for controlled buyer diligence, showing package dashboard, committed versus forecast cost, margin leakage indicators, variations, payment exposure and commercial control panel. — Synthetic product preview. No buyer records shown.

Capabilities

Subcontract package review
Margin leakage indicators
Award-vs-budget variance review

+3 more capabilities on the detail page

Cost management platforms ERP vendors +3 buyer contexts

Review package

Available under proposal

Secondary modules for scoped validation.

BOQ and Tender are visible, but scoped validation comes first.

Module 04

Available under proposal Proposal-stage module

BOQ / Cost Intelligence

BOQ review and cost-intelligence workflows available for scoped buyer validation and proposal discussion.

Commercial boundary

Proposal-stage module. Package completeness, integration fit, buyer data assumptions, implementation scope and licensing structure require buyer-specific review before any source-package discussion.

Synthetic BOQ / Cost Intelligence preview marked available under proposal, showing BOQ analysis, budget structure, variance detection, cost category mapping and estimating review for scoped validation. — Synthetic product preview. No buyer records shown.

Capabilities

BOQ normalization
Cost category mapping
Estimate review workflows

+2 more capabilities on the detail page

ERP vendors Quantity surveying platforms +3 buyer contexts

Discuss proposal scope

Module 05

Available under proposal Proposal-stage module

Tender Comparison & Award

Tender comparison and award-support workflows available for scoped procurement validation and integration discussion.

Commercial boundary

Proposal-stage module. It does not automate award decisions, replace procurement governance, provide legal procurement advice or guarantee tender outcomes.

Synthetic Tender Comparison and Award preview marked available under proposal, showing bidder matrix, package evaluation, commercial score, award-support panel and procurement traceability for scoped validation. — Synthetic product preview. No buyer records shown.

Capabilities

Bidder comparison matrix
Package-level evaluation
Commercial scoring support

+2 more capabilities on the detail page

Procurement software vendors Main contractors +3 buyer contexts

Discuss proposal scope

What buyers can review

Enough material to evaluate fit without public disclosure.

Structured review materials support diligence without open source-package access.

Review material

Module scope

Workflow boundary, buyer fit, maturity route and commercial role.

Review material

Synthetic mockups

Static SVG previews with no buyer records, public demo access or production proof.

Review material

Data objects

Input, processing and output objects for integration review.

Review material

Integration assumptions

Likely handoff points, dependencies and adaptation questions.

Review material

Commercial boundaries

Limits around access, claims, guarantees and disclosure depth.

Review material

Next-step path

Technical review, review pack, pilot scoping, proposal scoping or strategic discussion.

Commercial boundaries

Direct limits before deeper review.

The public site stays clear about what is not being offered.

No public source-code download.
No automatic access.
No free sandbox.
No production-readiness guarantee.
No autonomous decision.
No legal, accounting, payment-processing or compliance guarantee.
No validated predictive ML accuracy claim.
Claims Pro AI evaluation path is evidence-gated and activated in pilot under controlled discussion.
AI-augmented positioning requires controlled technical review.
Public site does not claim production availability or production validation.
AI scoped to extraction, structuring and semantic search only when implementation evidence supports it.
Every AI-assisted output is audit-logged where AI is enabled.
No guaranteed ROI, savings, claim recovery or margin improvement.
Deeper source-package review requires qualification, agreement and NDA where appropriate.

Next step

Prepare a focused review request.

Use the questionnaire to share company type, module interest, workflow gap, current stack, intended use and timeline before deeper disclosure.

Open review questionnaire View review pack

Direct line

labs@nivorqa.com

Use email for review-pack requests, module fit questions, licensing conversations and pilot scoping.