Data science roots
We started in data and machine learning, so model behaviour, evaluation and uncertainty are familiar ground rather than new vocabulary.
About
We make established software intelligent
Datics AI is an AI product engineering company. We work with software companies whose products are mature, mission critical and full of the accumulated logic that makes them valuable.
- 8
- AI builds inside products that were already live
- 5
- of them vertical B2B SaaS companies
- 2018
- the year Datics started in data science and AI
What we are
Where AI engineering and SaaS product engineering meet
Not a new product. The product customers already use, doing things it could not do before.
Plenty of firms will build you a demo. Fewer will take responsibility for a product that already carries customers, contracts, integrations and a permission model that cannot be casually changed.
Datics was founded in October 2018 as a Data Science and AI company by two founders with AI and data science backgrounds. That foundation was reinforced by enterprise data and analytics work and by experience with mature SaaS products, and Datics went on to develop deep SaaS product-engineering capability. GenAI is where those two capabilities converged; it is not something added onto a generic software consultancy.
Brownfield work is what we are built for, not something we merely tolerate.
We build, modernize and migrate production SaaS and AI workloads across AWS, Azure and Google Cloud, including cloud-to-cloud migration, Kubernetes and data platform modernization, inference economics and customer-controlled deployment where the buyer requires it.
We have run as a software factory for years: repeatable delivery pods, fixed scopes and codebases we did not write. It is why our AI work ships as an AI-Native Sprint, targeted unlock work and capability waves, each with a duration and a definition of done, rather than open-ended consulting. Our founder's earlier time around Crossover and ESW Capital reinforced that mindset.
How we got here
Three things shape how we build
Product engineering discipline
We build software that ships: application architecture, integrations, permissions, testing and the unglamorous work that keeps products dependable.
Brownfield by choice
Most of our work happens inside systems we did not write, with customers already depending on them. That constraint is the job, not an exception.
Who we work with
Established vertical B2B SaaS
Software companies serving a specific industry, with real revenue, real customers and products that people rely on to do their jobs. Sponsors and portfolio leadership behind those companies work with us too.
- business@datics.ai
- Phone
- +1 (945) 297-6257
Your customers already expect AI from your product.
Let us make it real without rebuilding what already works.