We work with product and engineering leaders to define where AI agents create real product value, and design the architecture to support it — from data pipelines and agent orchestration to multi-agent workflows and system design.

  • Agent opportunity mapping and product roadmap definition
  • Technical architecture for agentic products and platforms
  • Multi-model strategy — frontier and open-weight models matched by use case to control token cost
  • Multi-cloud architecture across AWS, Azure, GCP, or on-prem to avoid vendor lock-in
  • Data architecture and pipeline design for agentic workloads
  • Build-vs-buy analysis and vendor/model evaluation
Agentic product roadmap
Multi-agent system & data architecture
Multi-model, multi-cloud architecture
Build-vs-buy decision support
Model & cloud strategy

Matched to your use case, not locked to one vendor

FM

Frontier models

For complex reasoning, agentic orchestration, and high-stakes tasks where capability matters most.

OW

Open-weight models

For high-volume, well-defined tasks — self-hosted or fine-tuned to cut token cost without sacrificing quality.

MC

Multi-cloud support

Deploy across AWS, Azure, GCP, or on-prem — matching workloads to the right environment.

Related services

Pair this with

AI Transformation Strategy

A practical roadmap for embedding AI and agents across your SDLC.

Learn more

Legacy Modernization

Migrate legacy systems to the modern architecture your product strategy depends on.

Learn more

Forward Deployed Engineering

Ultrasoft engineers embed with your team to build the product you've designed.

Learn more

Ready to design your agentic product roadmap?

Let's talk about where AI agents can create real product value for you.

Book an introductory call