data-engineering
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Narayn Sridharan and the art of making the future useful
From connected kitchens at Cognizant to cloud engineering at PeerIslands and applied AI at Quest1, Narayn Sridharan keeps returning to a practical question: how does new technology earn its place?
Arvinder Pal Singh keeps bringing technology back to work
He co-founded Enquero, led it into Genpact, and started again with AuxoAI. Across the changing vocabulary of data and AI, Arvinder Pal Singh keeps returning to the people who have to make it useful.
Vlad Medvedovsky wants AI to earn its keep
The Proxet founder has spent his career helping other people’s software work. His next proposition: AI needs clearer instructions, better data, and humans who know what they are trying to build.
Narasimha Rao Vadde and the art of putting people in the right job
A childhood matching exercise became a lasting management question for Bilvantis’s founder: how do you give people work that uses their strengths? His journey runs through card systems, entrepreneurship and the classroom.
Senthil Paramasivam, the CEO on the SQL mentor list
The Nallas co-founder and CEO built his career around databases. His work with student coders, and one colleague’s memory of a job interview, reveal a continuing interest in how people solve problems.
Hexaview knows what your old code remembers
Before you replace a financial system, find out what it knows. Hexaview is turning that overlooked job into a business built around data, engineering, and carefully supervised AI.
Adaequare makes the messy middle work
Between a new platform and a working business sits a thicket of old code, disputed data and stubborn workflows. Adaequare has built its business in that thicket.
Binariks makes the complicated work.
A loan model, a coaching platform, a fingerprint scanner. Binariks builds the software behind them - and makes a case for fixing the handoffs before writing more code.
Nitka sells the team that stays.
Software remembers the people who built it. Nitka’s dedicated-team model puts a price on keeping that knowledge close.
Exusia makes the numbers agree.
A company can buy 35 businesses and still struggle to produce one reliable report. Exusia built a consulting business around fixing that gap - and became part of Globant in 2024.
EverestDX follows the money. Then connects the dots.
A cloud bill can tell you what you spent. EverestDX wants to connect that number to the application, the team, and the decision that comes next.
Tezo finds the work between the work
A conveyor-belt quote begins in an inbox. Tezo’s bet is that fixing the journey from message to business system is where enterprise AI earns its keep.
Akraya bets on the people hiring forgot.
A career break can make an experienced professional disappear from a hiring shortlist. Akraya built a business around looking again - and its acquisition of iRelaunch makes that bet bigger.
Velvetech makes the pieces talk
An insurance call center had the AI. It needed the plumbing. Velvetech’s work reveals where useful business software earns its keep: between the systems a company already owns.
Maxime Beauchemin and the trouble with doing things twice
He built Airflow to untangle data pipelines and Superset to see what was inside them. Now Preset founder Maxime Beauchemin is tackling another workplace complication: keeping humans and AI agents on the same page.
Vinoth Chandar and the cost of starting over
He helped build Uber’s data infrastructure, then watched other engineers wrestle with the same problems. At Onehouse, Vinoth Chandar is trying to make that repetition unnecessary.
Lineate makes the data do the work
Ten billion records a day. Half a second to get an answer. Inside the software company turning messy data into systems people can actually use.
Kunai builds the bank. Then hands over the keys.
Banks need software that works today and teams that can run it tomorrow. Kunai built a consulting business around that handoff. PwC bought it.
Factored makes AI show up for work
The hard part of enterprise AI is getting it through the working day. Factored embeds engineers where the data, the software, and the awkward questions live.
VARTEQ and the art of keeping software alive
Schools, genetic labs and payment platforms cannot pause for a rewrite. VARTEQ builds its business in the complicated space between what works today and what must work tomorrow.
Sysvine gives the hours back
A 36-hour test run. A lawyer buried in precedents. A clinic with a shaky connection. Sysvine builds software around the places where useful work gets stuck.
AIT Global makes the unglamorous work work.
An invoice stuck in a queue. A tool stranded on Flash. AIT Global builds its business around the small technical failures that become expensive business problems.
Cody Solutions makes the handoffs work
A cosmetics quote can spend days travelling between spreadsheets and inboxes. Cody Solutions builds the software to shorten that journey - and asks whether the savings justify the trip.
Navtech starts where the software breaks.
A media archive, a law library, a solar quotation. Navtech builds software around the awkward details that generic tools leave behind.
Oktana makes the connections that make AI work
The Salesforce specialist built its business around the awkward gaps between enterprise systems. Now part of Argano, it is taking that integration habit into the age of AI agents.
Decision Foundry makes the data do its job.
The New York consultancy connects scattered enterprise data, rebuilds awkward workflows, and puts AI where people can use it. Its most revealing work begins with the tools customers already own.
Trellissoft wants the work you missed
The fax. The unreviewed call. The answer buried in another system. Trellissoft is building an AI business around the everyday information companies struggle to use.
TechWish makes the paperwork work
The hard part of enterprise AI often lives in contracts, old systems, and everyday habits. TechWish builds the connections that make those things useful.
Wishtree makes the plumbing intelligent
An AI strategy eventually meets an old database, a slow release, or a supplier waiting for an order. Wishtree builds at that intersection - where ambitious software has to earn its keep.
Solvd learned to break software. Now it builds AI.
The company that made its name testing other people’s software is taking on a harder assignment: getting enterprise AI out of the demo and into daily use.