Mainframe.

$800B runs on paper and SMS.

• Field service is an $800B industry — 1.2M small businesses in the US alone
• Owners spend 70+ hours/week on dispatch, invoicing, follow-up — by hand
• Existing tools (ServiceTitan, Jobber) are CRUD forms, not intelligence
• Tree care alone: 30K+ companies, 18% avg margin leakage from missed calls + slow quotes + unpaid invoices
• Franchise groups (1,900+ locations per group) have zero unified platform across brands

AI-native command center.

• Voice-first dispatch, auto-quoting, crew routing, instant invoicing — one platform
• Connects to every CRM (SingleOps, ServiceTitan, Jobber, Tekmetric, Salesforce) — or runs alone
• 16,758 production-wired · 40,490 HTTP-verified callable · 110,681,157 cataloged endpoints (NOAA weather, NREL solar, Census, FEMA) — no integration needed
• Smart AI router picks cheapest model per task — we save 60-80% on AI costs
• Natural language interface: "Reschedule all Tuesday jobs, rain forecast" — done

Not a deck. A working product.

Every link below is live. Click any one.

• 60-second onboarding — pick industry, name it, watch the dashboard build, confetti
• Studio — chat, workflows, modules, CRMs, scrapers, blockchain apps, Cmd+K palette
• 16,758 production-wired · 40,490 HTTP-verified callable · 110,681,157 cataloged endpoints — indexed / ready / built across 1,240+ categories
• Live demo dashboard — see what a customer's Monday morning looks like
• Blockchain app builder — 25 chains, cheapest-route RPC

Bigger than ServiceTitan.

ServiceTitan hit $9B valuation selling to plumbing + HVAC alone. Mainframe is multi-vertical from day 1 — tree, HVAC, plumbing, solar, roofing, auto repair, med spa, pool, pest, paint, clean, pet, real estate, photography, fitness, fence, restaurant.

Usage-based. 82% gross margin.

• Free to start — everyone lands on the platform
• Pay per unit of usage (AI token, SMS, email, voice minute, RPC request)
• Generous free tiers, then meter — like Stripe/Twilio/AWS
• Payments take-rate: 0.4% on invoices processed (Shopify playbook)
• Enterprise: flat annual contracts for franchise groups (100+ locations)
• Volume discounts auto-apply at scale — no negotiation

60 days. Real numbers.

Founder is a real SaaS operator who built and sold a previous business. Mainframe runs against real production workloads daily.

Built from scratch. They can't pivot.

The data compounds. Daily.

• Outcome-linked dataset: Every quote → win/loss pair becomes training data. Nobody else has this.
• Cross-industry benchmarks: Oak removal pricing in Boca vs Tampa — impossible without the network.
• Industry fine-tunes: Llama 3.3 trained on 10M tree service interactions — irreplicable corpus.
• CRM adapter library: 36 connectors built. Takes years to replicate.
• API normalization layer: 16,758 production-wired adapters with typed schemas, retries, and webhooks — on top of 110,681,157 cataloged endpoints. The wiring is the moat.
• AI router IP: Task → model mapping that saves 60-80% on inference costs.

Small humans. Army of agents.

4 humans + 85 AI agents = cost structure incumbents can't match. $2K/mo infra, zero salary overhead, infinite parallel work.

$15M Series A. 18 months to $10M ARR.

Use of funds: 50% engineering (fine-tuned vertical AI, mobile app, MCP servers) · 30% GTM (franchise group sales, conference presence, vertical expansion) · 20% ops (SOC 2, compliance, customer success)