The AI operations partner for the world's leading insurers.
New York, NY
Joined July 2025
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Excited to share that Pace has been included in this year’s @Forbes Next Billion-Dollars Startups list.
We started Pace 2 years ago to help the largest insurers cover more of the world’s risk. We feel incredibly lucky to work with some of the largest insurers like Prudential, WTW, and Convex.
To our customers, team, and partners: thank you for your partnership.
Computer use is one of our most demanding workloads at @pacecom. Our agents drive real browsers and desktop applications through long, multi-step workflows, where every action depends on correctly understanding the screen before it. It's the one place where we usually have to make tradeoffs between model intelligence and speed.
When we tested Sonnet 5, it ran through customer workflows quickly without giving up accuracy, landing at the top of our evals. That combination lets us ship faster, more capable agents that deliver real value to our customers.
Most insurance work still lives in systems that were never built to talk to anything else: policy admin platforms, claims systems, the mainframe you reach through a green screen. Still, these are the platforms that hold the data the mission-critical work depends on.
Computer use removes that limit. If a person can operate a system, a @pacecom agent can too: it sees the screen, reasons about what's on it, and acts. We've pointed it at the trickiest UIs out there - cluttered policy platforms, 40-year-old mainframes, systems behind two-factor logins - and because it reasons over screens instead of following hardcoded clicks, it doesn't break when a field moves.
This is the work nobody could automate, till now. See how we build production-grade multi-modal agents here
Writing and servicing policies doesn’t just happen in one channel. Endorsement requests, cancellations, and first notices of loss often get scheduled by phone, confirmed by text, and followed up via email. @pacecom agents work the way the work actually happens, and in the front office, that often means voice.
Voice is also one of the hardest channels to get right in production, because live calls are messy. People interrupt, go off-script, give the wrong information, or call back three days later and expect you to pick up where you left off. At the same time, voice is unforgiving on speed. A caller expects an answer in less than a second, and it still has to be right. So we built the infrastructure to make sure our agents hold up against that reality:
In Prompt Studio, you design and iterate on agent behavior in a controlled environment, instead of tuning blindly in production. You set up the graders that score the agent on latency, quality, correctness, and tone, and optimize against them.
Then in Simulations you run the agent against hundreds of realistic conversations and those same graders measure how it holds up before a single real customer is on the line.
This is why top insurers trust Pace’s voice agents to handle over 90% of calls in their contact center fully autonomously. See how we build production-grade voice agents here.
Today we’re launching our one integrated multi-modal agent purpose built for insurance. One agent for the entire unit of work.
Excited to share that Pace has been named to the 2026 Enterprise Tech 30 list!
Wing VC and Newcomer's ET30 is one of the most closely watched signals in enterprise technology, voted on by 90+ leading investors and corporate development leaders to identify the companies defining what comes next.
To be recognized alongside companies like @AnthropicAI @databricks @harvey, and @OpenAI makes this especially meaningful.
This year's cohort reflects something we've believed from day one: purpose-built AI for specific industries is winning.
For us, that industry is insurance. We're building the agentic AI platform that carriers and brokers rely on to automate their most complex operations across the policy and claims lifecycle.
A huge thank you to @Wing_VC and @EricNewcomer for the recognition, and to our team for making it happen.
Computer Use agents have crossed a major threshold for enterprise reliability.
Over the past few months, we’ve partnered closely with @OpenAI to stress-test their new GPT 5.4 model on the hardest UIs out there: legacy insurance portals.
@pacecom agents navigate dense admin interfaces 1000s of times a day to enter new risk submissions and claims. By collaborating directly with frontier labs, Pace Computer Use can now complete complex tasks on the same software your teams do at human accuracy and superhuman scale 24/7.
Anthropic just released Sonnet 4.6, their most capable model for computer use. We've been testing it with the @claudeai team ahead of today's launch.
It hit 94% on our Complex Insurance Computer Use Benchmark. Early Claude models scored around 30% on the same tasks.
For the first time, the "mid-sized" Sonnet model has outperformed the heavier Opus 4.6 on our hardest tasks.
Pace agents navigate carrier portals, legacy systems, and dense insurance interfaces thousands of times a day. This requires reasoning through edge cases in environments that weren't built for automation.
We partnered with the @AnthropicAI team to improve performance on exactly these kinds of workflows. We've seen Sonnet 4.6 self-correct through failures in ways previous models couldn't — and we're already shipping it to our customers.
For our insurance partners, this means higher straight-through processing rates and faster turnaround for their policyholders.
Grateful to the team for the partnership and the shoutout in the launch blog post.
"How did you pull that off? That's not normal."
That was @gradypb's reaction when @jamiecuffe shared that 100% of our pilots have gone to full production.
In the current AI hype cycle, it's easy to build a demo that dazzles.
It is much harder to build a product that survives real insurance operations: messy data, complex edge cases, and zero tolerance for error.
We don't just ship software. We do the hard work upfront to understand the domain as deeply as the customers we serve.
Jamie joined Pat and @laurenmhreeder on @sequoia's Training Data to discuss what it takes to become the AI operations partner for the world's leading insurers.
Watch the clip below. 👇
A surreal moment seeing Pace light up Times Square this week
It's been an incredible few days since announcing our $10M fundraise led by @Sequoia. Seeing our name stand tall in NYC was a massive moment of validation for the team working hard behind the scenes.
Pace was built to be the AI operations partner the insurance industry deserves. We're grateful for the recognition, and even more excited for the work ahead.
Thank you to @Nasdaq for the warm welcome.
