Pulse AI helps established businesses put AI to work, with hands-on consulting and training data from PulseData. One team, from first pilot to production.
Research depth. Real-world delivery. Pulse AI is officially supported by leading technology and AI companies, including Google, Amazon, and NVIDIA.
Supported byGoogle Cloud AI Startup
Supported byAWS Activate
Supported byNVIDIA InceptionFrom the systems your team uses today to the models you are building for tomorrow. Start where it matters most, or let one team handle both.
From diagnosis to go-live. We map your workflows and data, design a pilot you can measure, then build it into the systems your team already uses.
REAL-WORLD CAPTURE / EMBODIED AIOriginal training tasks, real-world multimodal capture, annotation and QA, delivered training-ready against your model and acceptance criteria.
We start from the systems, processes and data you already have. No rip-and-replace. Find one workflow worth improving, prove it with a pilot, then scale what works.
Solutions your team can understand, operate and build on.
Agree the workflow, the data and the acceptance criteria before scaling.
Clear documentation, repeatable processes and an agreed support path.
Connect equipment and production data, and turn process know-how into answers for the floor.
Fewer manual handoffs across orders, inventory and reporting, and one clear view of the business.
Connect fragmented systems and cut repetitive coordination between teams.
Operational data platforms and document assistants for monitoring, reporting and compliance.
Research, portfolio analytics and risk context in one workflow, with people in control.
Make company knowledge searchable, with grounded answers and source references.
REAL-WORLD CAPTURE / EMBODIED AIOriginal training tasks. Real-world capture. Quality-controlled delivery. Built around your model, your use case, and your definition of ready.
Representative outcomes reported in PulseData program materials. Scope and capacity are confirmed for each project.
We help organizations connect their work, make better use of their data, and build room to grow.
A focused engagement with explicit acceptance criteria, not an open-ended technology experiment.
Map the business need, existing systems, and the outcome that matters.
Build a focused pilot or sample. Agree how quality and usefulness will be evaluated.
Integrate the solution, document the handover, and help your team use it.
Extend what works with ongoing improvements, support, or recurring data delivery.
Tell us about the problem, the people it affects, and what a useful outcome would look like. We will help shape the next step.
