Overview
1. CAD Compliance Check: AI Driven Design Validation
• What it does: SuperHive uses computer vision pipelines to scan 2D CAD drawings, extract all embedded geometry and annotations, and automatically benchmark plans against local building codes and enterprise design standards.
• Why it matters: Whether it is internal design standards or local building regulations, manually reviewing drawings is slow, error-prone, and outdated, using our custom-built AI enabled compliance checker, generate a compliance report instantly.
• Why it changes everything: Design becomes fluid and fearless. Teams can iterate quickly, validate instantly, and move forward with clarity, while AI ensures nothing falls through the cracks.
2. BIM Compliance Check: Autonomous Code Audits for Smart Models
• What it does: SuperHive ingests BIM models and activates rule-based AI agents to check spatial integrity, structural coordination, MEP design, fire safety, and green building standards.
• Why it matters: Code violations are detected within minutes, not weeks. Automated corrective tickets are generated. Stakeholders collaborate with a live, intelligent rulebook, not a static checklist.
• Why it changes everything: BIM becomes a living, breathing compliance interface—constantly self-auditing, adapting, and improving. This is design governance without friction, powered by AI agents that work round the clock.
3. Predictive Scheduling & Monitoring: AI Foresight Engine for Every Site
• What it does: SuperHive fuses project timelines with real-time site feeds—drones, IoT sensors, laser scans, satellite imagery, and contractor analytics. Then, it runs schedule and cost-optimization engines to forecast delays, flag risk hotspots, and recommend preventive actions before slippage begins. Additionally, a full AI-based asset management and optimization engine will bring transparency to capital deployment flows.
• Why it matters: You no longer wait for reports. AI agents observe, predict, and act - recalculating timelines, updating stakeholders, and adjusting delivery plans dynamically.
• Why it changes everything: Project management becomes predictive, not reactive. With SuperHive, foresight becomes currency, and every site becomes a self-aware system with intelligent early warning systems.
4. Digital Twin for Smart FM: Live Buildings Powered by AI
• What it does: SuperHive creates high-fidelity digital twins by merging as-built BIM with real-time IoT sensor data. AI agents monitor, analyze, and optimize building systems from energy flow, security, maintenance need to user comfort.
• Why it matters: Facility teams get real-time diagnostics, predictive maintenance alerts, and performance optimization suggestions—without waiting for breakdowns or costly audits.
• Why it changes everything: Operations move from manual to automated. Your buildings become alive with insight, reacting and evolving through AI-powered twins.
5.Master plan assessment and competition
• What it does: SuperHive crunches zoning, GIS, and site data to auto-generate and rank master-plan scenarios yield studies, massing, and competition-ready boards included.
• Why it matters: Land-use decisions fix most of a project’s ROI and ESG impact; AI delivers data-backed options in minutes, accelerating authority and investor approvals.
• Why it changes everything: Master-planning becomes an agile, evidence-driven dialogue—teams pick the best, code-compliant scheme and advance to approval at record speed.
Highlights
- Advanced computer vision and custom-trained, fine-tuned models for your data
- NLP pipelines for structured and unstructured data, with user-centric web dashboard
- On-prem or cloud-hosted as per requirement
Details
Unlock automation with AI agent solutions

Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Support
Vendor support
Customer Advisor – Understand & rank the most valuable problems to solve
• Run discovery workshops with business and tech stakeholders to surface pain points.
• Translate pain points into potential AI solutions and draft problem statements.
• Score and prioritize each opportunity for impact, scalability, and alignment with AI71’s strategy.
Proof of Concept – Prove the idea creates real value
• Rapidly prototype the AI capability on representative data sets.
• Showcase measurable productivity or automation gains to sponsors.
• Build a lightweight UI so end-users can interact with and validate the demo.
Prepare for MVP – Put the scaffolding in place for an Agile build
• Identify and map all key stakeholders, integrations, and dependencies.
• Define governance: sprint cadence, roles, decision rights, and escalation paths.
• Produce a feature roadmap, high-level architecture, and end-to-end journey map.
Develop & Launch MVP – Deliver and pilot the Minimum Viable Product
• Execute "Agile sprints" focused on priority features.
• Hold regular demos, retros, and backlog refinements to keep value visible.
• Deploy the MVP to a pilot group, capture usage metrics, and feed insights into the next evolution roadmap.
Contact Product: Raj Vaswani (raj.vaswani@ai71.ai ), Advisory: Aleksandr Sobolev (aleksandr.sobolev@ai71.ai )