This company provides visibility and controls for browser agents by analyzing interaction behavior to distinguish AI agents from human users. It uses event micro-analysis and agent signature matching to detect non-human browser activity in real-time. The platform allows enterprises to track AI events, identify context mixing, and deploy security controls to block specific agent-driven actions.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Construction contractors and subcontractors must manually compare large sets of architectural and structural drawings to locate missing dimensions, overlay conflicts, and version changes. This manual process is time‑consuming, prone to human error, and often results in delayed or incomplete Requests for Information (RFIs). Inaccurate or missed discrepancies can cause rework, schedule slips, and cost overruns during the design and construction phases.
Solution
The platform applies AI‑driven optical character recognition and semantic analysis to uploaded PDF drawing sets and specification sheets. It automatically extracts dimensional data, identifies missing or inconsistent measurements, and detects overlay mismatches across layout, detail, and discipline layers. Detected issues are compiled into structured RFIs that reference the relevant spec items, eliminating manual drafting of queries. A version‑comparison engine tracks changes between drawing revisions and presents trade‑specific diffs, allowing users to focus on the elements that affect their scope of work. All processing occurs in a secure cloud environment, and results are delivered through a web dashboard that integrates with existing construction management workflows.
Target Audience
The primary users are general contractors, specialty trade subcontractors, and construction document managers who need to verify drawing sets and generate RFIs efficiently during pre‑construction and construction phases.
Features
- AI‑powered OCR and geometry parsing for architectural and structural PDF drawings
- Automated detection of missing dimensions and inconsistent measurements across disciplines
- Overlay conflict analysis covering layout, detail, and discipline mismatches
- Auto‑generation of RFIs with linked specification references and exportable PDF/CSV formats
- Version‑control comparison engine with trade‑filtering (e.g., concrete, drywall, metal framing, electrical)
- Web‑based dashboard providing change visualizations, audit trails, and export APIs for BIM tools
- End‑to‑end encryption and role‑based access controls for secure handling of proprietary drawings