FastCrest / Robotics softwareBetter data.
More capable robots.
We are building Cupel for robotics data and Tether Studio as the visual workspace for Tether. Prepare the data robots learn from, then develop, run, and improve their policies.
Our productsTwo products.
Each useful on its own.
One helps you build the right dataset. The other helps you build a policy you understand and can improve.
01 / Robotics dataCupel
Turn demonstrations into data robots can learn from.
Start with robot recordings, human video, spatial data, or handheld demonstrations. Cupel's goal is to prepare a dataset for your robot, task, and training setup, measure whether it helps, and identify what data you need next.
- Understand, align, repair, and enrich source data
- Adapt demonstrations and compile target-specific datasets
- Evaluate training utility and plan the next collection
Explore Cupel →
02 / Policy developmentTether Studio
The visual workspace for Tether.
Bring Tether’s model preparation, serving, optimization, inspection, improvement, and release workflows into one interface. Follow a policy through an experiment with its settings and evidence in view.
- Prepare models and configure policy execution
- Inspect runs, optimize, and compare changes
- Carry checks and results into release decisions
Explore Tether Studio → Why we are building thisSpend less time guessing
what to change next.
A failed task can start with the data, the policy, or the system running it. We want developers to follow that problem through to a tested improvement.
- 01
Know what your data supports.
A recording may be useful for one task and insufficient for another. Preparation should account for the intended robot, available signals, and the training objective.
- 02
Keep decisions connected to evidence.
Inspect the source of a finding, preserve the baseline, and compare changes under matching conditions. Missing evidence should remain visible.
- 03
Make the next step concrete.
Choose whether to repair data, collect examples, change a setting, train a candidate, or run another evaluation. Keep the outputs available for the next experiment.
Follow an exampleSee how the work
fits together.
Two example journeys explain the product direction through a concrete task.
The foundersMeet the people
building FastCrest.
FastCrest was founded by Romir Jain and Arnav Gupta. We are building Cupel and Tether Studio for people developing robots and the policies that control them.
Romir Jain
Co-founder
Arnav Gupta
Co-founder
Before you start
A few practical questions.
Do I need both products?+
No. Cupel and Tether Studio are separate products. Use Cupel for your data workflow, or Tether Studio for policy development. Neither requires the other.
Do I need a physical robot?+
You can start with existing data in Cupel or supported local simulation workflows in Tether Studio. Checking a real deployment eventually requires evidence from the intended hardware.
How do I get started?+
Email team@fastcrest.com with the data or policy you have, the robot or task you are targeting, and the problem you want to solve.
Build with FastCrestWhat is holding
your robot back?
Tell us about your data, policy, and the task you need it to perform.
Talk to the founders ↗