Spatial
Public-source parcel, terrain, risk, and infrastructure review systems.
Turn location data into operational decisions.
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Mad Engineering ships Spatial, ClaimGuardian, and custom AI systems that turn messy physical-world data into reviewable products, controlled records, and decisions your team can defend.
One active client at a time. Discovery can start within 7 days; focused build windows usually land in 2-4 weeks.
Shipped surface
Search, review, provenance, and source state for public place intelligence.
Shipped surface
Workspace-isolated property records and evidence-ready packet surfaces.
Shipped surface
Agent workflows, typed integrations, evals, telemetry, and handoff-ready code.
Public-source parcel, terrain, risk, and infrastructure review systems.
Turn location data into operational decisions.
Private property twins, evidence packets, and source-attributed review flows.
Keep private records isolated and packet-ready.
Agents, retrieval, evals, and human review built into production surfaces.
Use AI where it can be measured and controlled.
Focused product builds with typed integrations, tests, and deployment rigor.
Ship usable software without a long consulting fog.
Proof
40+
Projects shipped in 2024
98%
On-time delivery
3.2x
Average ROI in 6 months
8 days
Avg. time to first deploy
4.9/5
Client satisfaction
Trusted stack
Built with operating partners used by teams that need fast delivery and auditability.
Client Signal
"We went from idea to operations portal in 3 weeks. Weekly milestones and measurable outcomes kept the team aligned."
VP Operations, Logistics Startup
Timeline
Weeks, not quarters
7-day discovery. 2-4 week delivery sprint. Weekly demos and release cadence.
Outcomes
ROI tracked
KPIs defined upfront: cycle time, throughput, conversion, or cost-to-serve.
Stack
Reliable by design
Typed boundaries, AI guardrails, observability, and audit trails from day one.
Results
Before: 3-month delivery forecast. After: 3-week production sprint with measurable workflow gains.
Service Packages
Discovery Sprint
Prototype + roadmap
Teams validating approach and business case
MVP Sprint
Most PopularCore features + deployment
Teams ready to ship a production MVP
Automation Sprint
AI workflows + guardrails
Ops teams scaling repeatable automation
| Sprint | Duration | Scope | Price | Best For |
|---|---|---|---|---|
| Discovery Sprint | 7 days | Prototype + roadmap | $12K | Teams validating approach and business case |
| MVP Sprint | 2-4 weeks | Core features + deployment | $25K-$50K | Teams ready to ship a production MVP |
| Automation Sprint | 1-3 weeks | AI workflows + guardrails | $20K-$40K | Ops teams scaling repeatable automation |
Private evidence • Public geospatial context • Tamper-evident sharing
Mad Engineering builds the public Spatial engine that powers the “around” layer for private ClaimGuardian records and packets.
Public Spatial Context
Mad Engineering builds Spatial as the reviewable place graph around private records: parcels, source health, field signals, and operational context that stay labeled before a packet or workflow uses them.
Runtime data and tile artifacts stay traceable to source.
Fresh, cached, modeled, and unavailable states stay visible.
Review-only context never becomes an automatic claim or legal determination.
Spatial is public-source review context. Private evidence remains workspace-bound until a user creates a scoped packet or snapshot.
Spatial public layer
Review-only place intelligence
Lee parcel runtime
Source-attributed, PMTiles-first, safetyScope visible
Boundary model
Public place context
Parcels, hazards, permits, source health
Private property record
Evidence, rooms, receipts, policies, reviews
Scoped packet
Snapshots, manifests, redactions, share logs
GA counties
Charlotte, Sarasota, and Lee parcel coverage with PMTiles-first rendering and runtime detail lookup.
Review state
Incident, permit, camera-watch, contractor, and metric context stays source-attributed before it becomes product copy.
Visible limits
Every public layer carries provenance, limitations, freshness, and safetyScope so reviewers know what it can and cannot prove.
We pair product engineering with geospatial data, evidence rules, and AI workflows so the first shipped surface is useful instead of ornamental.
Parcel, hazard, terrain, infrastructure, and operating context presented with visible source boundaries.
ClaimGuardian-style private twins, packet manifests, and review flows where source and truth state matter.
AI agents, retrieval, evals, and human approval wired into systems your team can operate after launch.
Engagements
Fixed-scope sprints with predictable timelines, explicit KPIs, and clean handoff. Scale up or down as you go.
7 days to align scope, technical risk, and quantified ROI.
2-4 weeks to ship production workflows, auth, and deployment.
1-3 weeks to automate high-friction workflows with AI agents.
What We Ship
Each build is scoped, shipped, and handed off cleanly. No black boxes.
Includes Spatial — the public geospatial engine (parcel twins, real-time feeds, hybrid 3D command centers) that powers the “around” layer for ClaimGuardian private records and packets.
Dashboards, approval flows, and ops surfaces that remove manual work.
Polished, secure portals that customers actually enjoy using.
Workflow-native AI with evals, policy guardrails, and production observability.
APIs, ETL, and legacy bridges that keep data consistent.
How We Work
We align on objective, constraints, non-negotiables, success metrics, and acceptance criteria.
You get a working prototype and risk log before heavy implementation starts.
Core workflows, tests, deployments, and telemetry ship in weekly milestones.
Codebase, runbooks, docs, and metric dashboard transfer cleanly to your team.
Common Questions
We protect the current sprint scope. New requests are prioritized into the next sprint with updated cost and timeline before work starts.
Yes. You own source code, deployment assets, and documentation from day one. We can deploy to your cloud accounts or ours during transition.
Yes. We offer follow-on optimization sprints and support windows for incidents, enhancement backlog, and performance tuning.
Project-based pricing, typically $12K-$80K depending on scope. We quote after a discovery call with locked requirements and success criteria.
Discovery in 7 days. MVP in 2-4 weeks for most web systems. Larger systems scale by sprint with weekly demo checkpoints.
TypeScript + React + Next.js on frontend, Python services and PostgreSQL on backend, with AWS and Vercel deployment targets.
We enforce role-based access, typed validation at boundaries, audit logs, and secure deployment defaults. Compliance requirements are translated into acceptance criteria.
Yes. We routinely integrate CRMs, ERPs, data warehouses, GIS feeds, and legacy systems with API or ETL bridges.
Ready to ship?
AI-first web apps, automation, and custom systems delivered fast. Clear scope, weekly progress, and operational value from day one.
Primary next step
Book a build call and leave with scoped milestones, timeline, and success metrics.
Current delivery rhythm: one active client at a time, discovery in 7 days, MVP windows in 2-4 weeks.
Need a different path?
Starting this month? Book a call. Reviewing product surfaces? Open Spatial or ClaimGuardian. Procurement-heavy scope? Email directly.