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 digital products that balance elegant user experience with rigorous backend architecture.
Machine Learning & AI Systems
Production-grade ML systems grounded in peer-reviewed research, delivered with fully monitored infrastructure.
Data Engineering & Analytics
Scalable data platforms 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.
"Working with Algorithmic felt like having technical cofounders who truly cared."
"I would definitely hire this team again."
"They provided solutions that were both insightful and tailored to our needs."
"They were excellent to work with. Very knowledgeable about our project's technology."
"Outstanding, top 1% experience! You won't find better!"
"They were amazing! Very prompt and efficient, delivered beyond expectations."
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 modelling across 350+ college basketball programmes 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 exclusively by engineers with 10+ years of production experience. The people who architect your system are the same people who build and ship it.
Every layer of the stack is held to the same standard.
From database schema to button states, we apply the same rigour. Systems pass security audits and load tests 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
All Insights Escaping the Quadrant of Death in Enterprise Software
The reasons behind the stagnation of enterprise software, as well as the four-variable framework CTOs and founders use to realign product development, market approach, and commercial strategy.
All Insights The False Economy of the Quick MVP
Learn how engineering shortcuts during validation create compounding costs that exceed the price of building correctly from day one.
All Insights Hyperparameter Optimization to Maximize ML Performance
Hyperparameter optimization can lift ML model accuracy by 2 to 10%. Learn which models benefit most, which tuning techniques to use, and when the compute cost isn't justified.
All Insights MLOps - Driving Structural Value from AI Investments
Stop losing AI ROI to technical debt. Discover the 6-stage MLOps framework to automate deployment, monitor data drift, and ship resilient ML models.
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 deliverables. 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.