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Services

Ops hurting? We fix the bottleneck and prove it live.

Founder-led teams that enter when revenue is leaking from manual ops, brittle handoffs, or dashboards no one trusts. We ship a running slice in your stack within days—no slideware, no endless discovery.

Who should engage

  • Founder/exec sponsor ready to ship a v1 in < 4 weeks.
  • Production data access and a clear KPI to move now.
  • Comfort with weekly live demos and fast decisions.

Who we won't

  • Procurement-first, no direct owner or access.
  • “Exploratory” with no success metric or budget.
  • Requests for decks instead of working software.

Pain → outcome

Three ways we fix broken ops

Custom Automation Software

Every business has unique operational challenges. We design and ship automation systems that plug into your stack, eliminate manual handoffs, and scale with your roadmap.

Failure modes we eliminate

  • Custom software architecture (microservices, APIs, real-time dashboards)
  • Embedded AI/NLP where it adds measurable value
  • Cloud deployment on AWS, Render, or your infrastructure
  • Monitoring, logging, and operational dashboards
  • Ongoing support and iteration cycles

Outcome / timeline

MVP 2-4 weeks · Full Solution 5-10 weeks

If this is you

Returns & reverse logistics automationResume screening & candidate routingDemand forecasting & planningQuality inspection automationExecutive report generationCustomer data integration
See How We've Solved This Before

AI-Driven Dashboards

Automation without visibility is blindfolded execution. We deliver live dashboards that illuminate performance, surface anomalies, and keep leadership aligned.

Failure modes we eliminate

  • Live KPI tracking and health scoring
  • Real-time alerts for failures and anomalies
  • Custom data visualizations tuned to your workflows
  • Role-based access control and audit trails
  • Exports and scheduled reporting

Outcome / timeline

Implementation 3-6 weeks depending on data sources

If this is you

Revenue & pipeline visibilityOperations and fulfillment trackingSupport & SLA monitoringManufacturing throughput analyticsMarketplace trust & safety
See Our Analytics Dashboard Demo

Outcome-Based Engagement

Want proof before you commit? We share delivery risk by piloting your automation or AI initiative in weeks, then scale the solution once value is proven.

Failure modes we eliminate

  • Risk-reversal pilot with shared success metrics
  • Founders hands-on every sprint
  • Technical roadmap & ROI model before build
  • Knowledge transfer to your internal teams
  • Optional co-delivery with your engineers

Outcome / timeline

Pilot 2-4 weeks · Scale Up 5-10 weeks

If this is you

Validating new automation ideasRefactoring brittle vendor solutionsStanding up AI prototypes safelyDe-risking executive transformation bets
Talk About Risk-Sharing

How we work together

Engagements with stop-rules built in

Pick the model that fits your risk tolerance. Every model ships weekly demos and has a clear pause/stop trigger if we don't hit the agreed slice.

Fixed-Price Project

Defined problem, clear deliverables, KPI locked before kickoff

  • Timeline: 5-10 weeks with weekly demos
  • Pricing: Fixed, shared risk
  • Best For: Enterprises with a specific automation challenge
  • Stop rule: if week-2 demo misses agreed slice, we pause and fix before proceeding.

Outcome-Based Risk-Sharing

We build your MVP at-risk. If it delivers measurable value, we proceed to full development.

  • Timeline: MVP 2-4 weeks, Full Solution 5-10 weeks
  • Pricing: Pay when the value is proven
  • Best For: Startups or teams exploring uncertain requirements
  • Stop rule: if the pilot KPI isn&apos;t hit, you don&apos;t scale or pay for full build.
  • Example: We'll build a prototype in 2 weeks, on us. If it works, let's build the full solution.

Retainer / Ongoing Support

Maintenance, optimization, and new feature delivery

  • Timeline: Monthly or per-deployment cadence
  • Pricing: Monthly retainer or per-release
  • Best For: Long-term partnerships that need velocity
  • Stop rule: if agreed uptime/latency targets slip twice, we switch to fix-only until back on budget.
See a live slice

See it running in your stack.

Bring one workflow and the metric that hurts. We'll demo a live slice, share the cutover plan, and set the stop-rule. No slides, just software.

See Our Work