We build software, fix data, deploy AI, and lead technology teams. Usually in that order.
Most of our client relationships start with one of these four capabilities and expand from there. The same Conductor who builds your application spots the data integration gap. The data engagement surfaces the AI opportunity. One relationship, full-spectrum capability, and zero handoffs.
- EngineeringBest for
Complex business logic, regulated workflows, and legacy replacement
Typical entry point Product Design Sprint - DataBest for
Siloed data, broken pipelines, and AI readiness gaps
Typical entry point Data Readiness AssessmentRelated case studies - IntelligenceBest for
Production AI systems, scored use cases, and governance-first delivery
Typical entry point AI Opportunity AssessmentRelated case studies - LeadershipBest for
Technology leadership gaps, PE post-acquisition, and major transitions
Related case studies
Every capability feeds the next. That's the model, not a coincidence.
We designed MiT's capabilities to work as a flywheel. Application modernization reveals data integration challenges. Clean data surfaces AI opportunities. AI deployments need ongoing technology leadership. And fractional CTOs spot all of the above before anyone else in the room.
Because the same Conductors stay with the client relationship across capability lines, context compounds. The Conductor who built your application already understands your architecture, your constraints, and your goals when the next engagement begins.
This is the integration best-practice: the companies that get their data, systems, and processes working together are the ones that capture value from AI. We help with every step of that journey.
How We Work
Senior engineer-architects who own outcomes end-to-end. 1-2 per engagement, supported by AI agents and a curated engineer bench. One relationship, full-spectrum capability, and zero handoffs.
See how we work15+ years of delivery
50+ projects shipped for organizations from startups to the U.S. Department of Defense. The model is new. The experience isn't.
About Made In TandemNot sure which capability you need? Start with one of these.
Fixed scope. Fixed price. A tangible deliverable you can act on immediately, and a clear picture of what comes next. Most of our larger engagements begin with one of these entry points.
Product Design Sprint
Turn a business idea, strategic hypothesis, or known user problem into a validated product concept with user research, prototyping, technical feasibility, and a roadmap your team can build from.
Data Readiness Assessment
Diagnose your data architecture, integration health, governance maturity, and AI readiness with a prioritized modernization roadmap.
AI Opportunity Assessment
Identify 3-5 high-impact AI use cases with feasibility scoring, ROI analysis, and a prioritized implementation roadmap grounded in your actual data and workflows.
Technical Due Diligence
Evaluate technology stack, engineering team, architecture risk, technical debt, and security posture in investment committee language, on deal timelines.