Bespoke, AI-Native Software
for the Future of
Commercial Real Estate.
DeepBreadth Dev is a boutique development agency building AI-native deal flow systems, agentic automation, and data infrastructure for private equity funds, capital markets & advisory firms, and CRE brokerages. We don't build demos. We build production software.
140+
Production MCP Tools
Commercial Real Estate
Industry Focus
Purpose-Built. Not Repurposed.
We scope and execute engagements that most dev shops wouldn't know how to start.
AI Agent Systems
Full-stack agentic workflows with real tool execution, confirmation gating, and audit trails. We build MCP-native infrastructure that connects your AI models to your actual data and operations — not a chatbot bolted onto a spreadsheet.
MCP · Claude API · Agentic Workflows
Deal Flow & Pipeline Software
CRE-specific pipeline management systems: multi-stage deal tracking, conviction scoring, Investment Committee workflows, underwriting engines, and outreach automation. Built by practitioners who lived the problem.
Private Equity · Brokerage · Capital Markets
Data Infrastructure & Enrichment
Proprietary data pipelines that pull from parcel databases, transaction records, skip tracing, geospatial APIs, and your internal systems — consolidating everything into a single, queryable source of truth with vector search.
Supabase · pgvector · CRE Data APIs
Built for CRE Operators.
We work exclusively with commercial real estate professionals who need software that understands their deals, their data, and their workflows.
Built on Production Experience.
Every capability listed here comes from live, deployed software — not proof-of-concepts or tutorials. DeepBreadth is the proof.
Agent & AI Architecture
- MCP server development: production servers with 100+ exposed tools, Streamable HTTP transport, OAuth 2.1
- Multi-model routing: intent-based selection across Claude Haiku / Sonnet / Opus with prompt caching (46%+ cost reduction validated in production)
- SSE streaming with typed structured card contracts
- Confirmation-gated write operations with atomic execution and 5-minute expiry
- Vector memory: pgvector + embeddings, semantic search, importance decay
- Proactive agent systems with cron-triggered intelligence surfacing
CRE Domain Software
- 17-stage deal pipeline management with stage-specific tooling
- AI underwriting engines (DCF, IRR via Newton-Raphson iteration)
- Seller / buyer conviction scoring (multi-axis, 100-point, persisted with delta tracking)
- Investment Committee workflow with voting, conditions, and audit history
- BOV (Broker Opinion of Value) generation
- 1031 exchange tracking
- Outreach session management with contact enrichment and activity logging
Data & Integration
- CRE data providers: Regrid/LandGlide, ATTOM, BatchData, Whitepages Pro, Reonomy
- Outreach infrastructure: Twilio (A2P 10DLC SMS), Resend (email), Microsoft Graph / Google (calendar + Outlook sync)
- AES-256-GCM encrypted OAuth token storage
- Cloud document import: SharePoint/OneDrive + Google Drive OAuth
- Geospatial: Mapbox GL JS, PostGIS, proximity intelligence (location-based alerting)
Full-Stack Delivery
- Next.js / TypeScript / React production applications
- React Native / Expo mobile apps (App Store delivery)
- Supabase schema design: PostgreSQL, RLS policies, pg_cron, realtime, pgvector
- Stripe billing: subscription, per-seat, webhooks, Stripe Tax
- GitHub Actions CI, Vercel deployment, monitoring (Sentry, PostHog, Betterstack)
The Stack.
Modern, production-tested, deliberately chosen.
CORE PLATFORM
AI / AGENTS
DATABASE & BACKEND
INFRASTRUCTURE
BILLING
OUTREACH
CRE DATA
DeepBreadth — Our Flagship Product
Every capability we bring to client engagements was forged building DeepBreadth — a production AI-native operating system for commercial real estate, live with institutional clients.
DeepBreadth features a 140+ tool MCP server, AI underwriting engine, dual operating modes for private equity acquisition teams and investment sales brokerages, a native mobile agent app on the App Store, and a behavioral data moat that grows with every deal, call, and contact logged.
It is not a demo. It is the bar we hold client work to.
→ mcp.tools.list()
140 tools registered
→ underwriting.run_dcf(
property_id: "asset_0472"
)
← confirmed · IRR: 14.2% · Cap: 6.8%
Start a Conversation.
We take on a limited number of engagements at a time. If you're a CRE operator, fund, or brokerage with a real problem to solve — we'd like to hear about it.