AI and technology consulting, custom solutions and training for growing businesses and large enterprises. Built for your business. Measured on your numbers.
In brief
EigenSpark is an AI and technology engineering firm that consults, engineers, and trains. We have put 65+ AI use cases into production across banking, real estate, steel, and the public sector, delivered generative and agentic AI platforms that run inside our clients' own infrastructure, and trained more than 5,000 professionals on the systems and policies they work with every day. Every solution is engineered for one business, and measured on a number that business already tracks.
The thesis
Most AI firms are staffed to deliver technology. Very few are staffed to understand a business. Your team explains what it wants. Their team engineers what it heard. The two rarely sit in the same room, and the gap between them is where the time goes. What arrives usually works. It just does not fit the way your business actually runs.
We do not work that way. The people who work out what your business needs are the people who design and deliver the system. That is how everyone here is expected to work: know the client's business as well as the technology.
Two things follow. What you get fits, because it was shaped by people who understood the problem. And it arrives fast, because nothing waits for a handover.
What we do
Three disciplines, one team. Clients rarely stop at the one they arrived for.
Where AI fits your business, and where it does not.
Systems engineered for your business, deployed into your own infrastructure.
Programmes built from your own products, policies, and workflows.
We build AI systems the way a good tailor makes a suit. To measure. To last. To fit only you.
Why EigenSpark
Check every one of them with any client we have worked with.
Every system and every training programme starts from your workflows, your data, and your objectives. We hold no software licence that needs placing, so we can tell you when a use case is not worth doing. A vendor cannot say that sentence.
Every training programme written from client material
Every engagement is scoped to a number your finance or operations team already tracks: cycle time, cost per case, hours recovered, exposure flagged. A model that scores well while the number stays flat is not finished work.
65+ use cases running in production today
Scoping is short because the same people who work out the problem are the ones who engineer the answer. Nothing sits in a queue waiting to be explained to another team.
Six weeks from a manual process to an autonomous one
Why us
Six questions that come up in every evaluation. We lose the last one.
| The question | A product vendor or a consulting firm | EigenSpark |
|---|---|---|
| What does the solution get shaped around? | A vendor’s product, or a slide deckBetter here | Your workflows |
| Who actually understands your business? | You do, once you have explained it twiceBetter here | The people writing the code |
| How long until something is running? | A procurement cycle, or discovery and then a waitBetter here | Weeks |
| What do you change to make it fit? | Your process. Or nothing yet, because there is no systemBetter here | Nothing. It was built to fit |
| How is success measured? | Licences deployed, or recommendations acceptedBetter here | A business number that moved |
| When is buying a product the better call? | When a category tool already does the jobBetter here | Then we say so, and we have |
We hold no software licence that needs placing, which is what lets us answer the last row honestly.
Case studies
Three businesses with almost nothing in common. Each one got a completely customised system built.
Read →
Read →
What we've built
Some problems come up often enough that we made the answer already. Every product is configured to the business it lands in.
Reads every sales conversation, updates the deal strategy, and coaches the rep before the next call. Works with Salesforce, HubSpot, and Zoho.
Visit tabygen.com ↗
An LMS that goes to your people. Courses and five-minute lessons land in WhatsApp, Slack and Teams, gaps are found per person, and the uplift is scored week by week.
Explore TabyLearn →
Give it a name and a city. It returns the buyer: what they can spend, how they decide, what to offer them, and where they rank against every other lead you hold.
Explore Lead Enrichment →
Everything a listed REIT owes its investors and its regulator, drafted from your own numbers. Lease drafts checked clause by clause, policies compared year on year, factsheets and analyst answers written.
Explore the REIT platform →Where we work
Across industries, across the functions inside them, and across whatever stack you already run.
Who does the work
Two founding directors, one leading strategy and one leading architecture and delivery. Both work on every engagement.
Founder & CEO
MBA, IIM Ahmedabad. Scaled a banking vertical from $0.5M to $20M across 22 bank partnerships. Built and exited a healthtech venture. Named one of the top thirty female AI founders worldwide by the Aurora Tech Award. Leads enterprise strategy and public sector relationships.
Aurora Tech Awards 2025
Awarded to Sonam Choudhary, Founder & CEO.
How we work
You sign off at the end of every stage, and the next one does not start until you do. The number we agree in Design is the number we are judged on in Deploy.
We map the process, the data behind it, and the business objective it serves. You get a ranked list of use cases, each with the case for doing it and the cost of leaving it alone.
GateYou choose what to take forward
We design the system and agree what success is, as a number. You get the architecture, the data plan, the integration list, and the target metric in writing.
GateThe target metric is agreed
We work in short cycles and show you running software throughout, on your own data. Your team is in the room for it.
GateThe system hits the metric
We put it into your infrastructure, train the people who will operate it, and hand over documentation your own engineers can work from.
CompleteYour team is running it in production
We do not quote a timeline before we have seen your data.
FAQs
EigenSpark consults on, engineers, and trains teams to run AI and technology systems. Three disciplines: consulting and advisory, custom AI and digital build, and training and enablement. Most clients start with one and end up using all three.
No. It is the most common way an EigenSpark engagement starts. We assess your data, systems, and teams, then prioritise the use cases worth doing against what your business is already trying to achieve. You get a ranked roadmap before anyone writes code.
Made for you. Every system starts from your workflows, your data, and your objectives. Where one of our own products fits the problem, we say so and configure it to your context. Where nothing fits, we engineer it.
Faster than most engagements you will have run, because the people who scope the work are the people who deliver it. One agentic system went from a manual process to a fully autonomous one in six weeks.
No. Plenty of our engagements have no AI in them at all. We run a full engineering practice: full-stack application development, systems integration and APIs, data platforms, cloud and DevOps, legacy modernisation, UI and product design, QA automation, and platform support. We rebuilt a steel producer's operations platform off a legacy system without using AI anywhere in it. We recommend what the problem needs, and that is not always AI.
Tell us what you are trying to solve, fix, or decide. We reply within 48 hours.
