ai-consulting
(58)
VisionX gives the physical world a desk job
A coffee table, a parcel label and a utility complaint have something in common: they need translating into a decision. VisionX builds the AI that does the translating.
Aurea wants your software bill to buy more software
Aurea built an enterprise software library by acquisition, then gave customers a way to reuse their spending across it. Its turn toward AI puts a new question behind the old subscription: how much useful work can one bill buy?
WSI sells the expertise behind the click
A furniture showroom, a community bank, and a franchise fee reveal how WSI turns a global network into a local consulting business. The useful lesson starts before anyone buys an ad.
Provectus puts AI where the work gets stuck
A pastry order, a hundred-page risk report, a support ticket: Provectus builds AI around the awkward business chores that hold everything else up. Its proposition is a working system, with the keys handed to the customer.
Blackstraw sells the work that comes after the AI demo
A model can impress a room and still disappoint a business. Blackstraw makes its living in that awkward interval, turning scattered data and promising algorithms into systems people can actually use.
Exponentia.ai and the expensive art of finding an answer
A sales rep needs a product fact. A bank needs a better route. Exponentia.ai builds the data systems and AI tools that turn those small questions into large operational changes.
RandomTrees and the tyranny of the tiny task
An invoice, a shipping document, a database migration: RandomTrees builds AI around the work that quietly holds an enterprise hostage. Its bet is that reusable agents need a very particular kind of human help.
Shorthills AI and the Eight-Hour Week
A dealership database that took more than a week to refresh now takes eight hours. Inside Shorthills AI, the interesting work begins long before a chatbot gets to speak.
Liam Ottley and the Long Way Back to an Office
He built an AI business that could travel anywhere. Then he packed for Auckland, put his team in an office and took the cameras inside the companies he wanted to change.
Patrick Petitti Put the Consulting Pyramid on Trial
A $50 class-project job, one cold email to Mark Cuban, and a stubborn objection to windowless conference rooms became Catalant. Now its Boston-born CEO is betting that seasoned operators, paired with AI engineers, can rewrite consulting again.
CURATIONS sells the campaign. It also owns the audience.
The Los Angeles agency combines human editors, eight named AI assistants and a local publication. Its most interesting offer is a $2,000-a-month restaurant program with somewhere to put the story.
Future Transformation Wants to Turn the Innovation Workshop Into Working Infrastructure
The Indian consultancy sits in the awkward gap between talking about emerging technology and putting it to work - then fills that gap with training, advisory, ecosystem programs and a growing product stack.
Loka stopped chasing a hit. It started building yours.
The Silicon Valley consultancy found its business in other people’s hard problems. Today, its work runs from investment proposals to drug discovery, with an unusually concrete test for AI: does it make it into use?
FLR Spectron makes the office work, one connection at a time
From dropped restaurant calls to meetings that need an IT chaperone, FLR Spectron tackles the everyday friction of business technology. Its expanding brief now includes the data and people behind AI adoption.
Solirius Reply and the hard work behind a simple public service
A court notification can hide a surprisingly large job. Inside the consultancy that helps government teams untangle the work, test the service and make it usable.
The 40-Year-Old IT Company Selling One Thing Above All: Someone to Answer
Transputec began with two students, a bank problem and a machine called a transputer. Four decades later, its pitch is refreshingly unglamorous: keep the systems running, make the costs legible and pick up the phone when they do not.
Wizeline Quit Selling Software. Now It Teaches Enterprises How to Ship It
Wizeline began with a dashboard that told product managers what to build. Its more valuable discovery was that big companies needed help doing the building - and now it is betting the same lesson can drag enterprise AI out of pilot purgatory.
CapeStart's Real Product Is the Last Mile of Enterprise AI
Most AI projects do not die in the demo. They stall in the unglamorous stretch between a clever model and a system that regulated teams can trust. CapeStart has built a 600-plus-person business around crossing that gap.
Fractal Spent 26 Years Learning the Part of AI That Demos Skip
The models get the attention. Fractal built a public company around the less glamorous work - clean data, redesigned workflows and enough trust to let an algorithm influence a real decision.
ISHIR Survived the Dot-Com Crash. Now It Wants to Be Your AI Co-Founder
A $1,000 outsourcing experiment nearly died with the dot-coms. Twenty-six years later, ISHIR is betting that the next valuable tech vendor will look less like a code shop and more like an accountable co-builder.
Beround Spent a Decade Hunting Software Bugs. Now It Wants to Fix AI Adoption Before the Tools Arrive
The Dutch consultancy built its reputation on the unglamorous discipline of testing. That same habit now powers a people-first AI playbook that starts small, measures what matters and leaves room for a human to say no.
Raphaël Dabadie Is Teaching AI to Read the Room
Before Foaster tried to map a company, its CEO made language models bluff through Werewolf and vote in elections. The same curiosity now points at a harder puzzle: how work really gets done.
Mahesh Kumar Bet on the Unfashionable Work of Making Software Useful
From business consulting to running Apptomate across Chennai and San Francisco, Mahesh Kumar has built a career around translation - turning technical possibility into software that organizations can actually use.
Markacy Made Marketing Answer to the CFO - Then 24 Seven Bought the Whole Playbook
Two ex-consultants left PwC with no clients, no name and one sharp thesis: ad spend should behave like invested capital. Seven years later, their finance-first agency had an Inc. 5000 badge, a roster from Malbon to Google Cloud, and an acquirer with the creative muscle they wanted.
Sixteen Years, No Funding, and the AI Nobody Demos
ITRex Group has spent sixteen years turning other companies' hardest problems into working software. Now it is doing the same with AI - the part that runs in production, not the part that looks good on stage.
The 30-Year-Old Internet Franchise That Learned to Sell AI
WSI was franchising websites before Google existed. Three decades later, its local-owner, global-network model is being repurposed for a harder assignment: helping ordinary businesses make sense of AI.
The 30-Year-Old IT Firm Making Enterprise AI Grow Up
Marlabs spent three decades doing the unglamorous systems work behind big companies. Now it is packaging that muscle into AgilityAI - a bid to turn stalled experiments into governed, measurable operations.
BayRock Labs
BayRock Labs sells something harder to package than software: a distributed engineering bench that can move from a sketch to a cloud migration, an AI workflow or a rebuilt product. Its wager is that four specialist labs can make outsourced development feel less outsourced.
Automaton AI Infosystem Pvt. Ltd.
Automaton AI is betting that enterprise AI will be won in the unglamorous stretch between a promising model and a system that survives production. Its answer is ADVIT Studio - a self-hosted workspace built to keep data, training, deployment and oversight under one roof.
Foaster.ai
Foaster.ai is a San Francisco startup building an AI-native alternative to management consulting. Its AI agents run 30-45 minute interviews across a company to rebuild an 'operational graph' - a structured map of workflows, handoffs, bottlenecks and information flows - then surface where AI should be deployed first. Human experts review and prioritize the roadmap. Founded in 2026 by Raphael Dabadie and Alexandre Combes, the company joined Y Combinator's Spring 2026 (P26) batch after building two widely shared LLM benchmarks, including the Werewolf Benchmark for social intelligence.