A trusted partner for the most complex technical implementations.
Algorithmic designs and builds production software, machine learning systems, and data platforms for businesses and startups. A deeply credentialed team of senior engineers taking complete accountability of your project execution.
Product Engineering & Design
Secure, production-ready products that pair a clean user experience with a solid backend.
Machine Learning & AI Systems
Production-grade ML systems grounded in peer-reviewed research, delivered with fully monitored infrastructure.
Data Engineering & Analytics
Data platforms built to scale, structured around the queries your business actually runs, turning raw data into strategic advantage.
Strategy & Advisory
Technically deep, executive-level counsel that bridges business strategy with engineering reality.
In their words.
What founders and technical leaders say after working with us.
Proof of work.
Production systems we have shipped. Our outcomes are measured by uptime, user growth, and business outcomes.
VIEW ALL WORK
View Work Fairway Finder
Full-stack product build for America's largest golf tee time discovery platform across 50 markets.
View Work FMCG QA on Edge
Real-time dimension and damage detection on high-speed conveyor lines using edge-deployed computer vision.
View Work NCAA Betting System
Predictive modeling across 350+ college basketball programs with tournament auto-scaling and real-time inference.
View Work NBA Betting Engine
Processing 3,000+ features with sub-minute refresh cycles to generate profitable NBA game predictions.
Your project has a founder, not a project manager.
Every engagement is personally led by a co-founder. You speak directly with the person making architectural decisions.
We treat your technical direction as if it were our own.
If an approach carries risk, you hear it early. Our role is to give you honest engineering counsel grounded in what we have built and shipped.
Your systems are grounded in peer-reviewed research.
Our founders hold patents and publish research. When we select an algorithm or architecture, we can trace the reasoning to first principles.
Senior engineers. Direct access.
Your codebase is written by experienced engineers who architect and build the system themselves. The people who make the technical decisions are the same people who ship the code.
The same care across the full stack.
From database schema to button states, we apply the same standard. Systems are tested for security and performance before they reach staging.
Complete technical ownership from architecture through deployment.
We own the entire development cycle - architecture, implementation, testing, deployment, and monitoring. You stay focused on your business.
From the engineering floor.
Technical writing on architecture, ML infrastructure, product design, and systems engineering - from the people doing the work.
ALL INSIGHTS
Read Article How completed workflows drive SaaS retention
Users who complete the full workflow every week are the ones who renew. Repair the step that breaks the path before expanding the feature catalog.
Read Article How date alignment in analytics reduces forecast errors
When finance, sales, and product count the same event on different dates, the forecast drifts. Aligning date conventions at the data layer fixes the error at its source.
Read Article Managing custom SaaS features without debt
Account-specific feature requests pile up into hidden architecture, QA, and support costs. A four-gate approval framework and modular variants keep them under control.
Read Article How to reduce data warehouse costs with workload-level attribution
Duplicate transforms, unmeasured BI workloads, and unattributed team spend turn a $180K warehouse into a $520K warehouse in 18 months.
We offer both fixed-price and time-and-materials models depending on how well-defined the scope is. Fixed-price works best for clearly scoped builds with defined outputs. Time-and-materials suits projects where requirements will evolve as we learn together. We recommend the right model during our initial assessment and are transparent about the trade-offs of each.
Week one is a structured discovery phase: architecture review, requirements alignment, and sprint planning. Engineering begins in week two. By the end of the first month, you will have working code in a staging environment, a clear delivery roadmap, and established communication rhythms with the team.
Every engagement is led by a co-founder and staffed with dedicated senior engineers. We do not rotate people across projects. The team that starts your project is the team that ships it. This continuity ensures deep context, fewer handoff errors, and a stronger working relationship.
We integrate directly into your existing workflows, including your repositories, CI/CD pipelines, and communication channels. We operate as an extension of your team rather than a parallel one. Daily standups, shared code reviews, and joint architecture decisions are standard practice across all of our engagements.