Co-founder @worktrace_ai. Assistant Professor @IllinoisCS. Prev. Microsoft | MIT | IIT Delhi. Help us eliminate the AI divide https://xitter.cf/t.co/88jq74bXUV.
Palo Alto, CA
Joined May 2010
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We just came out of stealth @worktrace_ai! Our goal is to empower everyone to use the best of AI, regardless of technical background. I've been a fan of @jiangelaa for years and am incredibly excited to pursue this with her. We're building a fun and excellent team, come join us!
Today, we're launching @worktrace_ai to help businesses uncover their best automation opportunities and build those automations.
Our founders, Angela Jiang (product manager of GPT-3.5 and GPT-4 at OpenAI) and Deepak Vasisht (UIUC CS professor, MIT researcher, IIT graduate of the last decade), are determined to eliminate the AI divide between frontier labs and the workforce.
Our $9M seed round is led by @8vc and @conviction with participation from @OpenAI, @svangel and @geniusventures.
Join us!
Instinct bought me this new shirt👇
Worktrace AI and computer use complete each other. 🧡
We recently made a big update to @worktrace_ai . It not only FINDS repetitive work in your company, but it now AUTOMATES it for you too.
Advancements in computer use have unlocked a wave of personal agents. It will unlock enterprise agents too. The missing piece in enterprise is understanding how work happens.
Worktrace records your screen and maps out every workflow to surface top automation opportunities. It takes what it has observed, often hundreds of times over, and turns it into an agent that uses the computer exactly the way your team does.
We'd love to demo it to you!
Deepak Vasisht retweeted
Worktrace AI and computer use complete each other. 🧡
We recently made a big update to @worktrace_ai . It not only FINDS repetitive work in your company, but it now AUTOMATES it for you too.
Advancements in computer use have unlocked a wave of personal agents. It will unlock enterprise agents too. The missing piece in enterprise is understanding how work happens.
Worktrace records your screen and maps out every workflow to surface top automation opportunities. It takes what it has observed, often hundreds of times over, and turns it into an agent that uses the computer exactly the way your team does.
We'd love to demo it to you!
Deepak Vasisht retweeted
Engineers need building blocks not point agents. That's why @SidChoudhury @puneet_sar and I are providing them a software factory on top of which elite engineering organizations will build their own incident response, test impact analysis, vuln remediation, cloud & coding cost optimization agents.
What will it take for enterprises to run software engineering like AI-native companies?
Today, we are announcing Autoheal’s (@autohealai) $𝟳.𝟵𝗠 𝘀𝗲𝗲𝗱 𝗿𝗼𝘂𝗻𝗱 to help make it possible 🚀
This funding will help us expand our go-to-market team, accelerate enterprise rollouts, and strengthen the platform reliability and customer support that enterprise adoption demands.
Our thesis is simple: enterprises need 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝘀𝗲𝗹𝗳-𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 and 𝗳𝗶𝗻𝗲-𝗴𝗿𝗮𝗶𝗻𝗲𝗱 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 working together to trust agents with more engineering work.
That’s why we built Autoheal: a 𝘀𝗲𝗹𝗳-𝗶𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗳𝗮𝗰𝘁𝗼𝗿𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲.
We provide prebuilt, cloud-based worker agents for incident response, vulnerability remediation, and AI coding cost efficiency. We also provide the sovereign infrastructure enterprises need to build and continuously improve agents across the post-coding SDLC, all within their security boundary.
Here’s how the self-improvement loop works:
↳ 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲. Analyze agent traces against signals from code reviews, CI failures, and production incidents.
↳ 𝗜𝗺𝗽𝗿𝗼𝘃𝗲. Turn those signals into proposed changes to agent skills, prompts, tools, or model selections, then check historical benchmarks for regressions.
↳ 𝗚𝗼𝘃𝗲𝗿𝗻. Engineers control access, govern actions, and approve changes to agent behavior. Those changes are version-controlled and auditable.
The goal: free engineering teams from 𝗽𝗼𝘀𝘁-𝗰𝗼𝗱𝗶𝗻𝗴 𝘁𝗼𝗶𝗹 so they can build more revenue-generating software.
We couldn't do this alone. Thank you to Harpinder Singh (@hmadan) at Innovation Endeavors (@iendeavors) for leading the round, alongside Anupam Rastogi (@anupamr) at Emergent Ventures (@emergent_vc), Kim 💚 Moore (@MooreKimJ) at U&I Ventures, Amir Shevat (@ashevat) & Raphael Danilo (@raph_danilo) at Darkmode Ventures, Dheeraj Pandey (@dheeraj) & Amit Kumar at Param Hansa Values LLC, and Quang Hoang (@qhoang09) at Batch Ventures (CTO Fund).
We are also incredibly grateful for our key angel investors: Shawn Kung (@shawnykung), Sumeet Arora, Anshu Sharma (@anshublog), Savin Goyal (@SavinGoyal), and Srikant Gokulnatha (@gosrikant). Thank you for backing our vision so early.
A heartfelt thank you to our special customers: Sameer Jain at Nomura Bank, Krish Shetty at AvidXchange, and Vijay Pendyala at Empiric Earth for helping us turn our shared conviction into a product.
And to Team Autoheal: thank you for earning our customers’ trust and building an incredibly deep product in such a short time.
For leaders already expanding agentic engineering beyond coding, what gives you the confidence to trust agents with greater autonomy? I would love to hear what’s working and what’s still missing.
so true! companies need to know what AI is/isn't good at within their own work
(of course, use @worktrace_ai to capture workflows and evals for all of your work)
You can’t automate what you can’t measure. This means that evals are one of the gates to diffusion of AI in the enterprise.
We can test our deterministic processes through software, but most enterprises have no useful way of understanding how their non-deterministic processes are working today. Specifically the work that agents are doing for them.
Evals are mission critical for enterprises adopting AI because you have no other way of knowing what’s working, what’s broken, what changed, what improved, what you can do more of, etc. if you don’t have a good sense of how agents work in your environment today. All changes, upgrades, and deployments are downstream from good evals.
Not only are we going to get vastly more domain specific evals over time for the labs and across the industry, but every enterprise will also need a clear sense of how agents are performing in their environment as well. Huge opportunity.
Super excited for Kos AI! Congratulations on the launch.
China is winning the AI race.
So we raised $12M from @8vc to build thousands of new AI data centers in America.
Here's what will make the AI bubble pop:
Data centers are needed for AI. Every invoice to build a data center is hundreds of millions of dollars and thousands of pages long.
The finance teams that need to approve these invoices are drowning.
The entire AI race is being bottlenecked by human approval. AI should fix this.
That's why we’re launching Kos.
Kos is a team of AI agents that work the way humans work. Tag Kos in Microsoft teams, or get on a Zoom call.
It doesn't hallucinate, and it has verifiable proof for it's work.
Kos is purpose built AI for Datacenter, Energy, and Manufacturing Finance. Think Harvey but instead of for law, it's specialized for Finance.
Book a demo here: kos.ai/
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We’re backed by the founders and C-Suite of billion dollar companies:
Keith D. Taylor (former Equinix CFO), Dave Ferdman (CyrusOne Founder), Heather Paduck (STACK Infrastructure CFO), Matthew DeNezza (former Crusoe CFO), and @sk7037 (Stanford, OpenAI).
Our institutional investors are @8VC, led by @AlexKolicich, XYZ (@fubini), MVP (Alex Li)
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One more thing, I made a huge notion doc on everything I learned building my last company (SpotAI) to >$100M in sales and funding.
I give away my secret framework to find the right market, my exact interview process, and how to close enterprise deals.
If you want it, just let me know and I'll shoot it over :)
Deepak Vasisht retweeted
We @neosigmaai @RitvikKapila are building the future of self-improving AI systems! By closing the feedback loop between production data and system improvements, we help teams capture failures, convert them into structured evaluation signals, and use them to drive continuous improvements in agent behavior.
We show how our system works on Tau3 bench across retail, telecom, and airline domains. Agent performance on the validation set (with a fixed underlying model, GPT5.4) improves from 0.56 → 0.78 (~40% jump in accuracy).
Deepak Vasisht retweeted
screenpipe went from $15k to $50k MRR in 4 weeks so i went to yosemite to celebrate
standing at the edge of a cliff i remembered why i'm doing any of this
survived leukemia at 13. been asking the same question since: how do we buy ourselves more time?
things are moving fast. our planet is dying, bioweapons are one prompt away, ai is getting out of hand, and we're hardwired to play negative sum games
but we shouldn't be grinding just to hit revenue milestones. we're grinding to give all forms of life more time. the animals we factory farm, the ai we're bringing into existence, the humans who deserve to explore their curiosity to its fullest
more time to dye our hair blue, upgrade our consciousness, maximize love
i'm delusionally optimistic we'll figure it out
see you at $100k next month
This is an interesting and accurate take. Anecdotally, saving time remains the top goal with AI, but we are also seeing a lot of organizations that do not want to simply accelerate what's happening today, they want to reimagine what work looks like at their company with AI.
Deepak Vasisht retweeted
hehehe @worktrace_ai in a superbowl ad! catch us in the the P 😎
@tbpn
Deepak Vasisht retweeted
Most people do not think that guarantees on LLMs are possible. The common view is that LLMs are too large to expect anything beyond testing and red teaming. Well, our latest work shows guarantees are possible. Great work by Tarun Suresh, @nalin_wadhwa and Debangshu Banerjee
Deepak Vasisht retweeted
🚨 Can we truly prove that LLMs won't leak your data or generate unsafe code?
Almost all LLM safety evals today only give estimates.
Sampling. Benchmarks. Leaderboards.
Zero guarantees ❌
We present BEAVER, the first system to provably bound LLM constraint satisfaction.
🧵👇
Deepak Vasisht retweeted
it's hard to overstate how legit & rare they are as far as a founder pair: technical expertise, background, character, customer obsession, agency, cool factor
see if you can join them!!
👋@worktrace_ai is out of stealth!
Which also means I've officially rejoined the workforce...I couldn't help but join @deepakv91 to pursue this vision together. I really think we & our amazing team are on track to make a meaningful difference in bridging the AI divide. Join us!
Deepak Vasisht retweeted
We're proud to back @jiangelaa and @deepakv91 as they build the new AI adoption layer for enterprise. Read on: 8vc.com/resources/worktrace-…
Deepak Vasisht retweeted
We’re excited to share that 8VC is co-leading the $9M seed round in @worktrace_ai, which observes real workflows, turns them into visual process maps, and continuously surfaces the highest-impact opportunities for AI agents to take work off people’s plates.
Deepak Vasisht retweeted
.@jiangelaa is hands down one of the best people I have ever worked with, professionally and at a human level. And I say this having been fortunate to work with many amazing folks.
Best career advice I can give: If you have the chance to work with her, run toward it!
Excited to see where this goes.
👋@worktrace_ai is out of stealth!
Which also means I've officially rejoined the workforce...I couldn't help but join @deepakv91 to pursue this vision together. I really think we & our amazing team are on track to make a meaningful difference in bridging the AI divide. Join us!
Deepak Vasisht retweeted
Good morning. On today’s show:
– @fidjissimo (OpenAI)
– @DylanByers (Puck)
– @jiangelaa (Worktrace AI)
– @slotkinjr (Scrub Capital)
– @AaronLCannon (Outset AI)
– @KaranKunjur (K2 Space)
See you on the stream.
Oracle Slides, Disney x OpenAI, Fidji Simo on 5.2 & More, Presidential AI Challenge xitter.cf/i/broadcasts/1yNGabODa…
Deepak Vasisht retweeted
We are so excited to partner with @jiangelaa and @deepakv91 at @worktrace_ai ! Congrats on the launch
Today, we're launching @worktrace_ai to help businesses uncover their best automation opportunities and build those automations.
Our founders, Angela Jiang (product manager of GPT-3.5 and GPT-4 at OpenAI) and Deepak Vasisht (UIUC CS professor, MIT researcher, IIT graduate of the last decade), are determined to eliminate the AI divide between frontier labs and the workforce.
Our $9M seed round is led by @8vc and @conviction with participation from @OpenAI, @svangel and @geniusventures.
Join us!
Deepak Vasisht retweeted
There is an insane amount of latent demand for AI-based automation and leverage in the enterprise. @jiangelaa and @deepakv91 are the perfect team to help those enterprises figure this out. We @conviction are very excited to work with them and the team at @worktrace_ai!
And excited to reconnect w/ @alexrkonrad and @UpstartsMediaCo on the launch!
Exclusive: OpenAI alum Angela Jiang (@jiangelaa) has launched a new startup, Worktrace AI, with $9M in funding 👀
I spoke to her and cofounder Deepak Vasisht (@deepakv91) about how their workflow automation agent could help to bridge the AI value gap.
upstartsmedia.com/p/worktrac…
