Plan It.
Prove the Hard Part.
Then Build.
Risk-averse leaders don’t guess their way into a build. They start with a Blueprint to define what to build—then run an Experiment, a 5-day functional prototype of the riskiest piece, so the development plan is calibrated by real engineering data instead of assumptions.
Blueprint first. User research, architecture, compliance, and a development plan your CFO can approve. Three tiers from $10K.
Experiment at the end. Our senior data engineers and architects spend 5 days on your hardest technical piece. You walk away with working code, real insights, and IP you own.
Build informed by evidence. The Experiment’s velocity data, architecture decisions, and integration findings calibrate the Blueprint’s development plan. No more spreadsheet estimates.
Talk to an Architect
30 minutes. No pitch. We’ll help you figure out the right starting point—or tell you honestly if we’re not the right fit.
Plan, then de-risk—before you commit to the build.
AI lets anyone generate code. It doesn’t tell you if it’ll work on your data, at your scale, inside your constraints. The Blueprint defines what to build. The Experiment proves the hardest piece works. Together, they produce a development plan grounded in evidence.
Blueprint
1–4 weeks · $10K–$45K
User research, technical architecture, compliance, prioritization, and a milestone-based budget. Three tiers—bring what you have, we start from there.
Experiment
5 days · Functional prototype
Senior data engineers and architects build a working prototype of the hardest technical piece—on your real data, your real constraints. Real IP. Real insights.
Informed Build
Calibrated by evidence
The Experiment’s velocity, architecture, and integration findings feed back into the Blueprint’s development plan. A number your CFO, board, or investors can stand behind.
Either offering stands on its own. You can run a Blueprint without an Experiment, or a standalone Experiment if you already have a plan. Most risk-averse teams run both.
Define what to build. Three tiers. Pick what fits.
Every Blueprint produces a development-ready spec, architecture, and budget. The tier depends on your project’s complexity: the number of personas, workflow depth, data sources, integrations, and compliance requirements.
Small
$10K
1 week
- MoSCoW kickoff & scope alignment
- 2–3 user research calls
- Personas & user needs analysis
- Feature prioritization (MoSCoW)
- Competitive positioning review
- Development plan with milestones
- Budget range estimate
Best for: you’ve done homework and want a validated spec and a number—fast.
Medium
$25K
2 weeks
- Everything in Small
- 5–8 user research interviews
- Deeper personas & journey maps
- Technical architecture & integration strategy
- Compliance & security requirements
- Detailed milestone-based budget & run rate
- Go-to-market positioning input
Best for: you need deeper research, architecture decisions, and a budget your board or investors can approve.
Large
$45K
4 weeks
- Everything in Medium
- Experiment built-in (weeks 3–4)
- Working software tested with real users
- Architecture validated by actual development
- Build estimate calibrated by real velocity data
- Integration feasibility proven, not assumed
- Demo-ready for investors, board, or stakeholders
Best for: you want the Blueprint and the Experiment bundled—evidence before you commit to a full build.
Five days on the hardest piece—with our senior data engineers and architects.
The Experiment is a focused 5-day sprint where our most senior engineers and architects build a working prototype of the riskiest technical piece of your product. On your real data, inside your real constraints. You get working software, a clear build-or-pivot recommendation, and IP you own outright.
Senior data engineering
Real schemas, real pipelines, real integrations. The messy middle of your data—handled by engineers who have built production systems since 2007.
Architecture judgment
We don’t just prototype—we design for scale, security, and compliance from the first commit. The Experiment stress-tests the architecture the Blueprint proposed.
Real IP you own
Working code, proprietary data models, and the architecture decisions that underpin them. 100% IP ownership, vendor-agnostic. It’s yours whether we build the rest or not.
Insights that shape the build
What’s real vs. mocked. Where the integrations bite. What the performance profile looks like. The evidence that turns a Blueprint estimate into a Blueprint plan.
Align & Scope
Define the hypothesis, lock scope, agree on success criteria. We start building that afternoon.
Build the Prototype
Engineers build working software on your actual data. Mid-week checkpoint to confirm direction and kill bad ideas early.
Test with Real Users
Put the prototype in front of real users or real data scenarios. Validate the hypothesis with evidence, not assumptions.
Demo & Recommend
Live demo to stakeholders. Recorded walkthrough. Technical assessment. Clear recommendation: build, pivot, or stop.
Your total time commitment: 8–12 hours across the week. Three touchpoints—kickoff, mid-week check, Friday demo.
Built for leaders who can’t afford to guess.
The Blueprint + Experiment arc is designed for risk-averse teams that want evidence before they commit capital to a build.
You need a plan your CFO will approve
Board, finance, or investors want a milestone-based budget with evidence behind it. The Blueprint defines the plan; the Experiment calibrates the number with real engineering data.
There’s one technically hard piece
AI on your data. A gnarly integration. A novel workflow. You don’t want to find out at month six that the risky piece doesn’t work. The Experiment proves it in five days.
You’ve been burned by a long build
Previous projects went over budget, over schedule, or got shelved. You want a disciplined on-ramp: plan it, de-risk it, then commit. 100% IP ownership, vendor-agnostic—every artifact is yours.
“The biggest risk isn’t spending to find out. It’s spending ten times more before you find out.”
Ready to get started?
30 minutes with an architect. We’ll help you figure out whether a Blueprint, an Experiment, or both is the right first move—or tell you honestly if we’re not the right fit.