
From home-maintenance apps to conversational shopping, the Bytes Technolab co-founder keeps returning to one question: how much work should software do for the person using it?
Work orders. Invoices. Software that cannot take the afternoon off. Solbeg builds the systems behind the business - and stays to keep them running.
AI can write the code. Someone still has to answer for it. AppSierra is building its engineering business around that uncomfortable little detail.
A missed handoff can turn a small IT problem into an expensive night. Netoyed builds the teams, systems, and interfaces meant to keep that from happening.
Buying software is easy to describe. Keeping it useful is harder. BestPeers sells the engineers, integrations and ongoing attention that sit between those two moments.
A Windows drive at CERN. Half a million documents at HPE. Comtrade 360 builds its business where software meets the awkward details of real life.
Four days to onboard a customer. Weeks to prepare a financial report. Saven Tech’s most revealing work starts with the time a business loses between its systems.
Gergely Orosz built a reader-funded publication around the details tech headlines leave out. Its real product is knowing what to ask before you copy another company’s engineering playbook.
A newsletter became a meeting place for people turning AI models into working software. Now Latent Space faces the same problem as its readers: how to scale without losing what made it useful.
After an agency that sold nothing, two Buenos Aires developers found a better business: helping U.S. companies hire Latin American engineers, then giving those engineers reasons to stay.
A brilliant product can still drown in contradictory requirements. Jama Software sells engineering teams a way to keep the promise, the change and the proof connected.
An empty printer cartridge, a missing aircraft manual, a checkout that drags. Computools builds software for the small delays that become large business problems.
AI has acquired a taste for engineering talent. Applicantz, a Houston company founded in 2001, is selling the people, coordination, and accountability that turn a technical ambition into working capacity.

From street-scene pixels to StarCraft and Grok, the former xAI founding engineer has spent his career turning large AI ideas into working systems. His next chapter begins with the lessons he says he wants to write down.
A pandemic erased two businesses and left their founders with weeks of runway. The rescue plan - finding work for the engineers they refused to fire - became Remotebase, and then became something else again.

At Apple, LinkedIn and now AfterQuery, the Stanford-trained engineer has kept returning to one stubborn question: how do you turn judgment into machinery that can be tested?

A Penn-trained engineer moved from nonprofit software and financial data to the difficult edge of AI. The route makes more sense when you notice how often Ricky Raup chooses work, and weekends, with a steep grade.

Anton Bubna-Litic spent years turning mathematical models into working systems. At NetBox Labs, he is applying the same practical instinct to AI agents - testing the fashionable future until it becomes useful infrastructure.
Emergency control rooms, warehouse picking and staff training rarely get the software spotlight. Dorset Software has spent decades working on them - and now wants to bring AI into the same practical territory.
FullStack says it can put vetted AI engineers inside a client in 48 hours. The more interesting story is how a 2013 software shop turned transparency, nearshore economics, and tightly scoped proofs of value into a credible enterprise sales pitch.
The San Francisco software firm sells something less fashionable than magic: accountable engineering. One troubled AI recruiting system shows why architecture, not another clever prompt, became the product.

From Mizzou hack nights to stratospheric balloons and AI-made games, Ryan Endacott keeps returning to one useful question: how do you make complicated technology feel inviting?

The sales objection that killed Weave's first fifty deals became its product: measure the work, follow the AI, and give engineering leaders an answer they can defend.
The Pittsburgh systems integrator is betting that the hard part of enterprise AI is not the model. It is the unglamorous work of fitting intelligence into old systems, guarded data and everyday operations - then keeping it running.
The former NIIT Technologies spent years learning the machinery of airlines, banks and insurers. Now, with 45,000-plus people and an expanding stack of AI platforms, Coforge is trying to turn that institutional memory into software that can act.

Swyx (Shawn Wang) and Alessio Fanelli are the co-hosts of Latent Space, the #1 AI Engineering podcast and newsletter with 200,000+ subscribers and 10M+ total readers. Swyx — a former Singapore hedge fund trader turned developer advocate who coined the term 'AI Engineer' — and Alessio — a Forbes 30 Under 30 VC partner and Rome-born dropout-turned-engineer — together define the curriculum and culture of a generation of engineers building with AI.
Swarm is an AI consulting and engineering company that assembles on-demand GenAI teams to help enterprises move from prototype to production. It addresses the high failure rate of AI projects by deploying boutique 'Hives' of specialists - covering strategy, data, modeling, MLOps, and delivery - for Fortune 100 customers across finance, healthcare, energy, legal and retail.
Hirsh Jain is the co-founder and CEO of Percepta, a General Catalyst Transformation Company that embeds AI engineers, researchers, and product managers directly inside large enterprises to move them past pilots and into AI-native operations. He spent seven years at Palantir Technologies as a senior vice president leading its healthcare and civilian-government business, and previously worked at Google, Jane Street, and the U.S. Department of Defense. A Harvard computer-science and mathematics graduate and published machine-learning author, he launched Percepta in 2025 with General Catalyst CEO Hemant Taneja and a founding team drawn from Palantir, MIT, Meta FAIR, Google, and Citadel. Shortly after launch, Palantir sued him and other former employees, putting the New York startup at the center of one of the year's most-watched AI talent fights.

Aurimas Griciūnas is a Lithuanian ML/AI engineer, founder of SwirlAI, and author of the SwirlAI Newsletter with 58,000+ Substack followers. A former CPO at neptune.ai (acquired by OpenAI), he now runs SwirlAI — an AI engineering education and consulting firm — and is a LinkedIn Top Voice in AI with 120,000+ followers. His newsletter covers AI engineering, LLMOps, RAG architectures, and agentic systems from a production-first, no-hype perspective.

Austen Allred is the founder of Lambda School (rebranded Bloom Institute of Technology), the income-share-agreement coding bootcamp that raised $129M+ and peaked at a $200M valuation before a CFPB enforcement action in 2024. Undeterred, he launched Gauntlet AI in Austin - a fully employer-funded, invitation-only AI engineering program that is 100% free for participants, guarantees $200K+ job offers on completion, and has already trained engineers reporting 50% productivity gains.