Your robot is stuck at 70%.iAM Robotics takes it to 100%.
iAM Robotics, Inait's software platform, brings the intelligence layer to the robot cell you already have. Manual manipulation tasks, automated and evaluated in under 24 hours of robot time.
Measured on real cells, with the customer's success criterion.
Every number below was measured on a physical robot, on the customer's parts, against the tolerance the customer set.
Gear pick-and-place from a random position on the table into a bin, for a Microsoft industry customer.
- Robot
- UR10, Microsoft's hardware and cameras, Inait software only
- Before
- Microsoft's engineers plateaued at 65% with the best available methods; gripping failed whenever the tip was not aligned with the part
- With Inait
- 100%, perfect alignment, fully autonomous, set up in under 24 hours of robot time
- Next
- Integrating into Microsoft's robotics toolchain
- Video
- Watch the full Houston video →
Repacking heavy automotive parts, done fully by people on the shop floor today. A fixed number of parts per box, packed tight, no fixed position, each placed into another box for kitting. The parts sit right next to one another, so the gripper has to descend at exactly the right orientation.
- Robot
- UR20 on the customer's line; a robot and parts the model had never seen in the real world
- Before
- The customer's own attempt plateaued around 60%; 2 cm precision, misaligned gripping damaged parts
- With Inait
- 99% in simulation, 98% on the real cell within the 10 mm tolerance required, set up in under 24 hours of robot time
- Next
- Pilot to production, early 2027
Your cell. Your robot. One day.
- Hardware
- Not locked in. Runs on the robot and cell you already have: arm, cameras, GPUs.
- Time to task
- Setup and evaluation in under 24 hours of robot time on a specific task. No months-long POCs.
- Demonstrations
- Collected autonomously by the software on your cell: the robot explores the task itself, an operator only supervises. If you have a simulation, demonstrations there replace part of the real ones.
- Precision
- Millimetre-level, measured against your tolerance, every attempt.
- Cycle time
- Benchmarked against your current process during the POC.
- Compute
- Training in the cloud (Azure, or your own tenant) or on your own infrastructure. Inference at the cell, on-premise, in real time.
- Learning
- Continuous. Adapts to drifting conditions with no extra engineering, and runs on every shift.
- Licence
- One per robot, tiered by task complexity, continuous learning included.
- Delivery
- Nothing for you to set up. Inait's forward deployed engineers or an integration partner bring the task to production on your cell. Over time, a self-service product.
A brain for any machine in a dynamically changing world.
iAM Robotics focuses on advanced manufacturing: one task on one cell, measured against the tolerance of the line. It then learns the next tasks fast, from a few examples, and keeps improving on the job.
Pick and place
One robot arm, tight tolerances under real disturbances: parts in uncertain poses and orientations, lighting, tooling and part variation that drift over time, placed to a criterion. Available today.
Contact-rich tasks
Kitting, oriented part loading, machine feeding, assembly, packaging. Non-rigid bodies: cables, soft parts. Guided by touch and force alongside vision, with every extra sensor adding to one live model.
Across your plants
Every cell, every robot brand, one platform. Then several arms working together, and humanoids. Further out, the same intelligence layer for logistics and beyond.
Tell us about your use-case.
Within a week an engineer tells you whether the task qualifies for a free proof of concept in 2026. One more week, and you have the success rate, precision and cycle time, measured on your cell, before any commitment.
- Fits
- Manipulation of parts: pick and place with tight tolerances and changing conditions. Industrial manufacturers who want to automate manual handling done by people today.
- Required
- A defined use case. A cell with a robot arm and cameras. An owner ready to take the POC to production.
- Helpful
- A previous automation attempt that got stuck. Extra sensors (force, touch). A simulation environment.
Prefer email? info@inait.ai