Advanced autonomy for the built world.
Joined April 2024
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The future of construction is being built in Texas.
@ChampSitePrep is betting on autonomous equipment to help their team meet demand for AI infrastructure and advanced manufacturing hubs.
“The speed and scale of what's coming into this region is unlike anything we've seen before, and these projects don't wait… What Bedrock is building will multiply what our crews are capable of.”
Here’s why more contractors are working with Bedrock to bring autonomy to their job sites:
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Autonomous excavation is a genuinely hard problem to solve because these machines can't just follow scripts.
We're building a system that takes in a target end-state (the intended shape of a trench, a graded surface, a loaded truck) and continuously plans a path toward it. The model replans roughly every half second, using the freshest sensor data available. That cadence matters because the environment is always changing, a dump truck shifts position, material behaves differently than expected, or the machine pauses to let a person pass by.
Getting the balance right is part of what we're solving for. Our system is designed to be responsive without being reactive: making confident, deliberate moves while staying ready to adapt.
If this is the kind of problem you want to spend your time on, we'd love to hear from you.
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Jun 10
@kevinmpeterson1 joined the @awscloud Physical AI live stream and walked through how Bedrock's autonomy stack works.
Most autonomous systems rely on a state machine, a mathematical set of rules that tells the machine what to do in every situation. Ours doesn't, we run an end-to-end diffusion model trained on real construction data, and the behaviors emerge from that. The machine doesn't follow a script, the subtle differences in how it moves across different conditions are all learned.
It's an approach that will let us scale in ways that rule-based systems can't. The more data we collect from the field, the more capable the system becomes.
Watch the full AWS Physical AI live stream down below.
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Bedrock Robotics retweeted
Enjoyed chatting with @gracegongGG about starting a company, what the future looks like with robotics and AI, and some fun stories about getting @BedrockRobotics going! Thanks for having me on!
Jun 8
@kevinmpeterson1 — CTO of @BedrockRobotics — on Venture with Grace, sharing a lesson every founder should remember: start with the customer.
When building Bedrock Robotics, Kevin and his team spent time talking directly with customers to understand their biggest challenges. The answer wasn't complicated—it was productivity.
Across construction sites, finding and retaining skilled operators for excavators, bulldozers, and other heavy equipment has become increasingly difficult. That labor shortage creates a significant opportunity for technology that helps crews accomplish more with the resources they have.
His key point: great companies aren't built around technology first—they're built around solving urgent customer problems.
Episode is live now — a fascinating conversation on construction, robotics, and identifying real-world opportunities. Link in bio.
#Construction #Entrepreneurship #StartupStory #Productivity #SkilledLabor
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Bedrock Robotics retweeted
Jun 8
Listen to my conversation with @kevinmpeterson1 of @BedrockRobotics on
Spotify: bit.ly/3v1R0Tu
Apple: bit.ly/4bTCwpD
Youtube: bit.ly/3uXthnv
LinkedIn: bit.ly/3Xs8GQP
Website: svppro.com
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#Autonomy #EmbodiedAI #SelfDrivingCars #SpaceTech #DeepTech
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Bedrock Robotics retweeted
We're delighted to have Co-founder and CTO @kevinmpeterson1 join us at AUTONOMOUS.
@BedrockRobotics's platform retrofits excavators, dozers, and loaders with sensors, compute, and autonomy software, so existing equipment runs around the clock.
→ Founded Marble Robot, acquired by @CaterpillarInc in 2020, then led perception for @Waymo Via
→ Builds Bedrock's autonomy stack alongside a founding team drawn largely from Waymo's self-driving program
→ Roughly $350M raised, including a $270M Series B in February 2026 at around a $1.75B valuation, with a 130-acre supervised deployment
Join Kevin, 50 curated speakers and 500 attendees in San Francisco, July 16th for our premier event.
For announced speakers, check our highlights.
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Most ML problems today look roughly like this: large amounts of labeled data, known benchmarks, incremental improvements over well-defined baselines. The infrastructure is mature and the playbook is mostly written.
At Bedrock, we're building a system that learns to operate heavy construction equipment in unstructured, unpredictable real-world environments. The training data comes from machines deployed on active job sites across the country. The feedback loop runs through physical hardware, and the failure modes are genuinely novel, which means the solutions have to be too.
We're hiring engineers who want to work at the intersection of infrastructure and autonomy.
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Bedrock Robotics retweeted
Jun 3
What happens when world-class autonomy founders partner with deep industrial expertise before a company is even formed?
@BedrockRobotics.
From market exploration to company formation, Eclipse helped shape the path from concept to category leader in construction autonomy.
Read more: bit.ly/4fptjtb
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The construction industry's labor gap shrank in 2026: down to 349,000 net new workers needed, from 439,000 last year.
That might sound like progress but the same report projects the gap climbing back to 456,000 in 2027. The underlying forces haven't changed: an aging workforce, retirements outpacing new entrants, and demand for new infrastructure continuing to grow.
The numbers fluctuate, but the structural problem doesn't. We’re building to change that equation by giving skilled crews the tools to multiply what they can accomplish on every site.
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Bedrock Robotics retweeted
May 23
We're working on our learned control stack and did an AB comparison. Here's a quick video comparing classical to learned. Very cool results. On the right (classic, well tuned), you can see a lot of bounce, more faults, and a lack of coordination across axes. On the left (learned), coordination is better, and the motion is much smoother. Upstream model is same e2e in both cases. Really cool to see how learning beats traditional controls/tuning IRL. We're gearing up to be on many many different sizes and types of vehicles, so learning has scale advantages there as well.
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Bedrock Robotics retweeted
May 30
Construction is wild and fascinating. Here's an example from one of our sites where the excavators are building "mats". They use logs from the site to float on top of the muddy ground, inch-worming a makeshift road as they go. Excavation is manipulation!
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Bedrock Robotics retweeted
May 28
AI is starting to change how CEOs actually run companies — not just how they build products.
From The Billion-Dollar Blueprint: Patterns Behind the Fastest-Scaling AI Companies, when Grace Gong asked how founders structure their day and what’s top of mind, @bsofman, Co-Founder and CEO of @BedrockRobotics, pointed to something practical: AI has become a real-time product accelerator inside the company.
In their case, they use foundation models to process massive amounts of field data. The shift is that decisions that used to rely on intuition and long engineering cycles can now be quantified and updated continuously through AI-driven analysis — sometimes within hours.
What do you think — are AI tools changing decision-making faster than org structures can keep up?
Follow the Smart AI Summit page for more from the event.
#AIAgents #EnterpriseAI #Startups #AI #Product
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Bedrock Robotics retweeted
We're thrilled to announce that Boris Sofman (@bsofman), Co-Founder and Chief Executive Officer of Bedrock Robotics (@BedrockRobotics), will speak at the 2026 Reagan National Economic Forum.
RNEF is where the technologies shaping the next chapter of American economic leadership get their moment in the room — and autonomous systems, robotics, and their implications for the labor market and infrastructure buildout are very much on this year's agenda. Watch this conversation LIVE on Friday, May 29.
📅 Register for the livestream: reaganfoundation.org/events/…
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Bedrock Robotics retweeted
May 17
Meet Eugene. Eugene is one of our hardest working machines. Eugene is also Mr Slate’s son in the Flintstones where he operates the local quarry. Coincidence? Definitely not. Autonomous every day? Definitely yes.
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May 21
Construction workers build the infrastructure that everything else depends on. They deserve careers that don't cost them their health.
Omar Percy from @Sundt shares with Linda Xu why he believes autonomous technology could mean less fatigue, less pressure, and better work-life balance for the crews doing this work.
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May 19
From a children's birthday party in a highway median, to a semi-truck struck by lightning, one of our team's biggest learnings from putting driverless cars on freeways is that you never know what's going to surprise you next.
Robotics in the real world is like that. The environment doesn't cooperate, and the surprises don't stop coming. The job is to encounter them safely, address them, and build a system that handles whatever comes next.
Construction is no different. And that's exactly why we put machines on the ground early, because the only way to find the surprises you haven't imagined yet is to show up and meet them. Field time is how we build the library of edge cases that makes the system smarter over time.
If that kind of problem sounds like the one you want to work on, we're hiring.
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The Bedrock Operator is how autonomy gets onto a machine. Eight cameras, LiDAR, GPS, IMUs, and a compute stack mounted to the cab turn existing heavy equipment into an autonomous system without rebuilding the machine from the ground up.
Retrofit autonomy means the intelligence has to work with the machine as it is: variable hydraulics, real-world wear, the physical unpredictability of a live job site. The sensor suite we've built handles that environment, and the data it generates is the foundation for everything the system learns to do.
The hardware is already out there, working, and the intelligence running on top of it will only grow from here.
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