We are your full-stack AI partner helping you set & execute your enterprise AI strategy at startup speed.
60871.0K130K2.6K
Tags
<500KAI agentSeedExplainerB2BFeature launchUS
TLVC Rating
3.00
Hook
Editing / Creativity
Copy
Sentiment of launch
Distribution strategy
Community Rating
No ratings yet
to rate this launch.
Tenex is an AI transformation and engineering firm working with companies that want to move from AI-absent to AI-native without commissioning six-month strategy decks. Its work spans three tracks: function-specific audits that surface AI use cases, transformation partnerships that pair change management with custom tooling, and outcome-based engineering squads where clients pay for shipped features rather than logged hours. The launch is anchored by a 38-minute masterclass on AI evaluations recorded with Viv Trivedi, who works on applied research at LangChain Labs , aimed at operators and founders who keep hearing that evals are the hard part of shipping reliable AI and want a working mental model rather than a vocabulary list.
The company is run by two managing partners. Alex Lieberman is best known as the co-founder of Morning Brew, the business media company that sold to Business Insider for $75 million in 2020, and has since founded Storyarb, Distro, and growthpair. Arman Hezarkhani previously founded venture-backed AI companies, helped scale Google's Cloud and AI platforms for developers, and taught computer science as an adjunct at Carnegie Mellon.
The timing matters because enterprise AI budgets are shifting from proofs of concept to production, where the bottleneck is measurement rather than model access. Evals, the discipline of scoring whether an AI system actually did what it was supposed to do across changing inputs and prompts, are how teams catch regressions before customers do, and LangChain has been pushing this thinking with releases like its Eval Engineering Skill, which helps coding agents build evals from repository context and agent traces . Pairing that expertise with Tenex's operator-side view of enterprise rollouts is the pitch behind this launch.
Comments (15)
Sign in to join the discussion.
P
Priya Kothari24d ago
38 minutes on evals is either a masterclass or a hostage video. Bookmarking to find out which.
D
Dele Okonkwo24d ago
Calling yourself an idiot in the hook is the new 'I built this in 48 hours'. Effective though, I clicked.
M
Marcelo B.24d ago
The thumbnail says 'easy mode to god mode' like it's a Street Fighter tutorial. Weirdly, I respect it.
Y
yuki h.24d ago
Every enterprise AI consultancy is now a 'full-stack AI partner'. What happened to just calling it services.
R
Ravi Menon24d ago
Retention on AI consulting engagements past month 6 is the only number I care about. Anyone have a real answer?
L
Lena Kvist24d ago
The pacing on that video cut is genuinely tight. Whoever edited it earned their coffee.
B
Brian Otieno24d ago
An eval masterclass is great and all, but who's actually shipping the pipelines at 2am when the client's demo breaks tomorrow.
K
Katarina D.24d ago
Hot take: the enterprise AI consulting market is about to get compressed hard by the model vendors themselves. Selling shovels in a shovel factory.
Z
Zoya Rahimi24d ago
Reminds me a bit of how one of my portfolio companies positioned early, teach the market, then sell the picks. Works until it doesn't.
T
Tomás Herrera24d ago
Third 'full-stack AI partner' launch I've seen this month. The category is starting to feel like a group project.
A
Annika D.24d ago
Curious what the impression-to-clickthrough looks like on this one. The hook is spicy but the URL cutoff hurts.
C
Chidi Eze24d ago
What's the pricing model here, fixed scope or T&M? Because those two lead to very different burn stories for the client.
M
maxsolo24d ago
Genuinely wondering how lean this team is. Consulting scales with headcount, which is the exact opposite of everything I like.
F
Fatima Zahra24d ago
By the time enterprises finish their 'AI strategy' the agents will have written the strategy, executed it, and filed the retro.
O
Ollie Nakamura24d ago
Every consultancy demo looks incredible until you ask to see the eval suite they actually ship to clients. Would love to see one live.
Work With Us
Book an intro call to explore our suite of services. We might have a waitlist.
Tenex Labs
We are your full-stack AI partner helping you set & execute your enterprise AI strategy at startup speed.
We are your full-stack AI partner helping you set & execute your enterprise AI strategy at startup speed.
Tags
TLVC Rating
Community Rating
No ratings yet
to rate this launch.
Tenex is an AI transformation and engineering firm working with companies that want to move from AI-absent to AI-native without commissioning six-month strategy decks. Its work spans three tracks: function-specific audits that surface AI use cases, transformation partnerships that pair change management with custom tooling, and outcome-based engineering squads where clients pay for shipped features rather than logged hours. The launch is anchored by a 38-minute masterclass on AI evaluations recorded with Viv Trivedi, who works on applied research at LangChain Labs , aimed at operators and founders who keep hearing that evals are the hard part of shipping reliable AI and want a working mental model rather than a vocabulary list. The company is run by two managing partners. Alex Lieberman is best known as the co-founder of Morning Brew, the business media company that sold to Business Insider for $75 million in 2020, and has since founded Storyarb, Distro, and growthpair. Arman Hezarkhani previously founded venture-backed AI companies, helped scale Google's Cloud and AI platforms for developers, and taught computer science as an adjunct at Carnegie Mellon. The timing matters because enterprise AI budgets are shifting from proofs of concept to production, where the bottleneck is measurement rather than model access. Evals, the discipline of scoring whether an AI system actually did what it was supposed to do across changing inputs and prompts, are how teams catch regressions before customers do, and LangChain has been pushing this thinking with releases like its Eval Engineering Skill, which helps coding agents build evals from repository context and agent traces . Pairing that expertise with Tenex's operator-side view of enterprise rollouts is the pitch behind this launch.
Comments (15)
38 minutes on evals is either a masterclass or a hostage video. Bookmarking to find out which.
Calling yourself an idiot in the hook is the new 'I built this in 48 hours'. Effective though, I clicked.
The thumbnail says 'easy mode to god mode' like it's a Street Fighter tutorial. Weirdly, I respect it.
Every enterprise AI consultancy is now a 'full-stack AI partner'. What happened to just calling it services.
Retention on AI consulting engagements past month 6 is the only number I care about. Anyone have a real answer?
The pacing on that video cut is genuinely tight. Whoever edited it earned their coffee.
An eval masterclass is great and all, but who's actually shipping the pipelines at 2am when the client's demo breaks tomorrow.
Hot take: the enterprise AI consulting market is about to get compressed hard by the model vendors themselves. Selling shovels in a shovel factory.
Reminds me a bit of how one of my portfolio companies positioned early, teach the market, then sell the picks. Works until it doesn't.
Third 'full-stack AI partner' launch I've seen this month. The category is starting to feel like a group project.
Curious what the impression-to-clickthrough looks like on this one. The hook is spicy but the URL cutoff hurts.
What's the pricing model here, fixed scope or T&M? Because those two lead to very different burn stories for the client.
Genuinely wondering how lean this team is. Consulting scales with headcount, which is the exact opposite of everything I like.
By the time enterprises finish their 'AI strategy' the agents will have written the strategy, executed it, and filed the retro.
Every consultancy demo looks incredible until you ask to see the eval suite they actually ship to clients. Would love to see one live.