ANB Solutions helps organizations find where AI changes the economics of their operation — then designs, builds, and ships it. Not demos. Deployed systems that cut cost and compound.
Every business now faces the same question: where does AI actually pay off here? We answer it with a plan, then build the proof.
From "where do we even start" to a scoped, costed AI roadmap: use-case discovery, build-vs-buy calls, and the architecture to run it in production.
Agentic workflows, back-office automation, and the MLOps foundation to run them — designed, built, and shipped to production.
Fractional and interim CTO leadership: roadmap, architecture, hiring, and the operating cadence that ships dependably.
Turn repeatable services into products that scale — and get a technical read on codebases, teams, and contracts before you commit.
A short diagnostic gives you a clear picture and a prioritized plan. From there, we build the fix or step in to run it.
A two-week diagnostic: map your workflows, rank every AI opportunity by ROI, and leave with a prioritized, costed AI plan.
Which of your repeatable services can become a product? We map delivery patterns and find the wedge.
Your product works for a few customers. We pressure-test architecture, data, and team for the next phase of growth.
Technical due diligence for buyers, sellers, and investors — plus a technical read of SOWs and MSAs before you sign.
Turn your best delivery playbook into a product spec, an MVP scope, and a costed build plan your team can execute.
Position, package, and price the product, and define the architecture and integrations to support scale.
Stand up CI/CD, observability, and a release practice that supports multiple deploys per day.
From agentic QA to back-office workflows: build automation and the MLOps foundation to run it in production.
Embedded technical leadership: owning the roadmap, architecture decisions, hiring, and the team's operating cadence.
Design the team structure, roles, and leadership cadence that scale a group from scrappy to dependable.
Engagements run from focused two-week diagnostics to one- to three-month builds. Pricing is scoped to the work, so let's talk about where you are.
A fixed-scope assessment that gives you an honest picture and a prioritized plan of work.
A roadmap your engineers and your leadership can both act on, with the tradeoffs and timelines made explicit.
We help execute, or step in as embedded leadership, until the new approach runs independently.
For nearly a decade, Abhishek was CTO and an owner of ANB Systems, where he grew the engineering organization to more than 200 people and scaled the platform to serve enterprise customers.
He built the DevOps and MLOps practices behind a 99.99%-uptime, Multi-region product with mature disaster recovery and dozens of deployments a day, leading large consolidations and platform migrations, culminating in the company's acquisition by DNV.
Keynote on putting AI to work at enterprise scale.
Where digital twins meet agentic AI in industrial applications.
Opening keynote on practical AI agents for enterprise workflows.
Power Lunch speaker on big data and distributed computing.
Start with a free* working session. Whether you are weighing a productization bet, prepping for diligence, or trying to get AI past the demo, a short working session gives clarity and a plan.