When a data system works well, it changes the pace of an entire organization. Questions that used to take a week get answered in minutes. The numbers across teams match. The people running the business can see what's actually happening and make decisions with confidence. Getting there takes thoughtful architecture, reliable pipelines, and analytics designed around how your team actually operates. Algorithmic builds data platforms, analytics systems, and infrastructure end-to-end - architecture, pipelines, analytics, dashboards - with one senior team that owns the entire system.
[ WHO WE WORK WITH ]
>> 01
Your data is scattered and you're ready to consolidate.
You have data in many places and getting a consistent answer takes more effort than it should. We can bring it all together into one reliable foundation your team trusts.
>> 02
Your team deserves better information to make good decisions.
Good information exists across your systems. It's not reaching the people who need it yet. We can build something that puts the right data in front of decision-makers on time.
>> 03
You've tried BI tools and they haven't clicked yet.
That's more common than you'd think, and it's usually a foundation issue. We can help figure out what needs fixing and build something your team will actually use every day.
>> 04
You're getting your data ready for machine learning eventually.
Machine learning needs clean, structured, reliable data to work well. We help you build that foundation now so you're ready when the time comes to add ML to your product.
[ OUR OFFERINGS ]
>> 01
Data Platforms & Infrastructure
If your data lives across many different systems, the first step is bringing it together into one place your team can rely on. We build unified data platforms that consolidate your sources into a single foundation - data warehouse, ingestion pipelines, quality checks, and infrastructure to keep it running smoothly. Once everything flows into one system, your team can answer questions in minutes, and the numbers are consistent across every report, every department, every time.
>> 02
Analytics & Business Intelligence
Good analytics are built around how your team actually makes decisions - the metrics that matter, the cadence you operate on, the thresholds that should trigger action. We start by understanding your decision-making process and work backward from there. Dashboards, reports, alerts, and integrations with the tools your team already uses, all designed so the right information reaches the right people at the right moment. That's when dashboards become something people actually open every morning.
>> 03
Statistical Analysis & Research
Some questions require rigorous statistical methodology to answer properly - does this program actually work, which customers will churn, what's really driving this trend. These are problems that require hypothesis testing, causal inference, and segmentation analysis. We run the studies, build the models, and deliver answers your team can trust and act on. Every analysis comes with clear methodology, confidence intervals, and plain-language findings that a non-technical executive can understand and use to make decisions.
>> 04
Data Strategy & Architecture
Sometimes the best first step is a blueprint. We can audit what you have, map how data flows through your organization, identify what needs attention, and design the architecture for where you want to be. Our data strategy engagements produce a clear, actionable plan - what to build, what tools to use, what to prioritize, and what it will cost. Useful whether you build with us, hire internally, or take the plan to another team.
[ OUR PROCESS ]
We make right technology choices.
[ TESTIMONIALS ]
>> Here to help you
Algorithmic was started by Sanket and Yuriy while they were studying together in Genova, Italy. They've both spent over a decade each in software engineering and machine learning. They specialized in two distinct verticals of advanced computer vision - Sanket in human pose estimation, Yuriy in object pose estimation - which gave them complementary expertise in how machines interpret the physical world, and more importantly, what it takes to build robust software systems that make these algorithms work in production.
They started Algorithmic to bring this industry and academic expertise to a broader range of ambitious founders and teams seeking for senior professionals to support them in getting things right, in the first attempt. That project became a studio with a team of senior engineers, PhDs, and published researchers who share the same standard.
If it's worth building, build it well.
[ CASE STUDIES AND SOLUTIONS ]
We understand the space, fill in the gaps fast, and get real systems out the door.
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