Adam Rothenberg

Partner, @BoxGroup

[Adam Rothenberg @AdamRothenberg]

BoxGroup is excited to continue to be in the business of funding early stage, ambitious founders building products they dream about - we've raised two new funds, each $275m, to invest in founders as early as possible @BoxGroup

More here:
https://t.co/60XRZb66xf

[White Circle @whitecircle]

Hey everyone, we're ⚪ White Circle

We're building the most advanced runtime safety and alignment infrastructure for AI in the real world.

Read more about us in Fortune ↓

[Jibran Hutchins @jibranhutch]

We at @Haladirofficial just raised our seed round, bringing our total amount of funding to $4.3M to build operational superintelligence. Led by @BoxGroup and @SusaVentures, with participation from @seedtosunflower, @Valkyrie_vc, XPRESS Ventures, and various angels, with prior round funding from @ycombinator and @svangel, and our first believer, @Joshuabrowder.

[Zachary Perret @zachperret]

We just published @Plaid's 2025 Shareholder Letter.

2025 highlights
• >$500M ARR (~40% YoY); profitable; strong margins
• >1m new connections every day
• New products >20% of revenue growing at >90%
• Major progress in Credit Scoring and Fraud Analytics
• AI has accelerated everything. >400 AI companies built on Plaid in the last year.

Lots more to come in 2026! And as always, feedback welcome. Would love to hear from y'all.

https://t.co/nXzdDnJ3hz

[Spencer Mateega @spencermateega]

For most of history, expertise was scarce, constrained by time and reach: one person, one career, one lifetime.

Now, for the first time, we can encode, evaluate, and scale it.

We believe the wisdom that once took a lifetime to build shouldn’t take a lifetime to find.

Today, we’re excited to announce that @AfterQuery has raised a $30M Series A at a $300M valuation and that we’ve since surpassed $100M in annual revenue run rate, to build the data layer of professional AI.

[Zack Kanter @zackkanter]

I'm thrilled to announce @Stedi's $50m Series C, led by Lee Fixel from Addition with participation from @Stripe, @RibbitCapital, @USV, @FirstRound, @BoxGroup, and @BloombergBeta, along with angel investors including @tobi, Charlie Songhurst, @rauchg, @karimatiyeh, @Max, and more. This latest round brings our total funding to $142 million.

We’ve grown enormously over the past year. Our number of paying customers has increased by 6x year over year, and our number of billed transactions has increased by over 7x. We’re now processing more than a billion claims and eligibility transactions annually – to frame this on a relative basis, we processed more transactions in February alone than we did in the first half of 2025 combined. This month, Stedi was named one of @TryRamp's fastest-growing vendors – across all categories, not just healthcare – for the second time in ten months; we’re the first non-AI company to make the list in five months.

We’ve done all this while offering a level of support that (allegedly) doesn’t scale. We offer dedicated Slack and Teams channels to every customer and now have over 1,500 shared channels. Over the past 12 months, our median support ticket response time has decreased from 18.3 minutes to just 6.7 minutes, all while handling a 6.4x increase in support volume – with 100% of tickets answered by humans.

Our customers send us thousands and thousands of questions and suggestions every month, day and night, and the learnings we get from this firehose of real-time feedback are the engine that turns our business. It is this process that has made us the fastest-growing clearinghouse by a wide margin.

This latest round of funding allows us to continue to accelerate development across our platform and to continue to serve customers with a first-rate support experience.

One key to that is continuing to build a world-class team – to that end, we are hiring for dozens of roles across engineering, product, design, operations, GTM, and more. If building the transactional layer for the future of healthcare sounds interesting to you, drop me a note.

[Or Hiltch @_orcaman]

Today we're launching Accomplish FREE - powered by our new hybrid model router.

Since we launched @Accomplish_ai a few weeks ago, we've been blown away by what users are building with it. Hundreds of thousands of you downloaded the app and took it for a spin, but one thing kept coming up: not everyone wants to bring their own API key just to get started.

So today we're fixing that with free, built-in models - made possible by a massive shift that's happened in just the past few weeks: the rise of fully hosted open-weight models - locally on your @Windows machine with @nvidia @NVIDIAGeForce, on your Mac with @Apple MLX, or on @Accomplish_ai cloud, for FREE.

Our new hybrid routing algorithm dynamically routes between cloud models and models running locally on your machine - optimizing for local execution by automatically detecting your hardware capabilities and each sub-task's complexity: coding, visuals, simple classifications - every LLM call is routed to the best model.

We also brought some of our favorite enterprise features to the free tier: scheduled task dispatch, Google Workspace integration (@googledrive Docs, Sheets, Slides) via the new Google Workspace CLI, native Slack MCP connectivity, and more.

Accomplish FREE is available for macOS, Windows, and Linux. Download, send a task - and boom, it just works with ZERO configuration!

Download link in bio / first comment >>

[Adam Rothenberg @AdamRothenberg]

.@TryBasis is the AI leader in accounting - exciting to see long-horizon agents being deployed beyond coding into complex domains like accounting / finance

[Basis @trybasis]

We've raised $100m at a $1.15b valuation from @Accel, @GVteam, and existing investors to accelerate deployment of the most capable and accurate accounting agents across CAS, tax, audit, and advisory.

Basis is used by 30% of the Top 25 accounting firms and dozens more across the Top 150.

Today we're announcing the first accounting agent to complete a business tax workbook end-to-end.

Our focus on production-grade, long-horizon agents means that 12 months from now, the work Basis handles will make even this look routine.

We're looking for a few very intense people who want to build at the frontier.

[Y Combinator @ycombinator]

Overshoot is the fastest API for real-time vision. Literally faster than human reaction time (<200ms).

Developers are using it to ship video agents in gaming, robotics, sports and security.

Check out the playground: https://t.co/WJT7TNBUIh

Congrats @zakariaornot and Younes on the launch!

https://t.co/KFkSFyc1hD

[Halen Mattison @HalenMattison]

Feature on General Galactic (@gengalactic) in @WIRED today -- we're going to change the way space is done.

[Z Reitano @ZReitano]

@Ro’s first Super Bowl ad. Featuring the GOAT, @serenawilliams, and her journey on Ro—from weight loss to steady blood sugar levels to, as Serena says, having “knees like Megan.” Check out our spot. Couldn’t be more proud of the team. Still just the beginning!

[Sajid Mehmood @smehmood]

Everyone is talking about this Ramp blog post: background agents are now authoring 30-40% of their PRs (!)

If you read this and thought “I need that” the good news is we’ve built it for you: https://t.co/iZ2eqf0L4Z

If you’re at a fast moving AI-native company, DM me for early access

[Adam Rothenberg @AdamRothenberg]

.@clay announced its 2nd employee tender offer in 9 months, at a $5B valuation. Most startup employees can’t take advantage of the value they help create until their company goes public. Instead of asking their team to wait years for an exit, Clay is giving them real flexibility

[Tuhin Srivastava @tuhinone]

Baseten’s day 0 bet was that inference was the technology that would enable the best user experiences AI could deliver–fast, smart, reliable, secure. And that those experiences would rely not only on a handful of giant general intelligence models, but millions of specialized models built by companies for their specific customers and use cases.

Whether you’re a doctor, developer, lawyer, mechanic, researcher, construction worker, marketer, etc, you’re accelerated by specialized tools worthy of your craft. To me, this is one of the most meaningful promises AI can deliver on.

We’re starting to see it now. Many of the main-character AI companies on the application layer are built on highly-specialized models for highly-specialized workflows–Abridge, Clay, Cursor, OpenEvidence, Hebbia, Mercor, Notion–these businesses are booming because customers love specialized tools.

There are probably hundreds of custom models in production today. Soon, there will be thousands and then millions. All enabled by a high-performing inference layer.

Inference has emerged as one of the hardest problems in modern AI systems. Delivering reliable, low-latency experiences requires deep coordination across distributed infrastructure, kernel-level performance, and software ergonomics—even world-class teams struggle to do this well. As a result, as consumers and developers, we’ve grown to accept sluggish performance, frequent downtime, and inconsistent quality across both application companies and model providers.

Meanwhile, the demands on inference are accelerating: AI adoption is trending towards ubiquity with reasoning models that are orders of magnitude more compute-intensive. This will only increase as more companies catch on to the virtues of owning their end-to-end IP rather than relying on black-box model APIs on shared infrastructure. Whether we can realize the impact of this generational shift will depend on our ability to serve these models reliably at scale.

We knew we could make the technology work, but the biggest delight of it all has been seeing what our customers do with it. The (many-model) future is bright.

[Or Hiltch @_orcaman]

Today we are launching @openwork_ai, an open-source (MIT-licensed) computer-use agent that’s fast, cheap, and more secure.

@openwork_ai  is the result of a short two-day hackathon our team decided to hack, which brings together some of our favorite open source AI modules into one powerful agent, to allow you to:

1. Bring your own model/API key (any provider and model supported by @opencode is supported by Openwork)

2. ~4x faster than Claude for Chrome/Cowork, and much more token-efficient, powered by dev-browser by @sawyerhood (legend)

3. More secure - contrary to Claude for Chrom/Cowork, does not leverage the main browser instance where you are logged into all services already. You login only to the services you need. This significantly reduces the risk of data loss in case of prompt injections, to which computer-use agents are highly exposed.

4. Free and 100% open-source!

You can download the DMG (macOS only for now) or fork the github repo via the link in bio (@openwork_ai).

Let us know what you think (or better, send a pull request)!

[Tuhin Srivastava @tuhinone]

Baseten has acquired Parsed, now allowing us to deploy the world's best RL talent to help our customers own the intelligence layer.

The talent density of the small Parsed team is insane: RL experts and alignment researchers from Oxford and Cambridge, multiple Rhodes Scholars, multiple University of Sydney mathematics medalists (iykyk), and quants and high frequency traders in spades. Most importantly, the team is 100% Australian.

Continual learning is a key unlock for helping our customers own the intelligence layer, and we are very happy to help accelerate their ability to do this.

Welcome, Parsed team!

[Adam Rothenberg @AdamRothenberg]

@ElizabethTurner @Valkyrie_vc congrats Beth!! well deserved

[Weco AI @WecoAI]

Hard work scales linearly. Automation scales exponentially.

Over 17 days, our autonomous ML agent trained 120 models and beat 90% of teams in a live $100k ML competition, with zero human intervention.

Weco, now in public beta:

[Spencer Mateega @spencermateega]

Today, humanity is shackled by scarcity of expertise. When expertise becomes infinitely scalable, humans will be freed to tackle problems we can't even conceive of today.

Introducing @AfterQuery. We’re building a world where expertise is abundant.

Domain by domain, profession by profession, AfterQuery is crafting datasets that encode excellence into forms that machines can learn.

Data is the final frontier.