Four practices, one accountable team. Engage us for a single build or an end-to-end program.
Design and deployment of autonomous AI agents for support triage, document processing, research, and operations — built on Claude, OpenAI, and open frameworks such as LangGraph and CrewAI, with evaluation and guardrails as first-class deliverables.
Forecasting, classification, recommendation, and NLP systems taken from proof-of-concept to production — including the data pipelines, feature stores, and MLOps needed to keep models accurate over time.
Web platforms, APIs, integrations, and legacy modernization on AWS, Azure, or GCP — built with Python, React, and Node, and engineered from the start to carry AI workloads.
Vision-guided inspection, AMR fleet orchestration, and ROS 2 development — the software layer that makes robotics programs pay off, simulated before hardware is purchased.
A 1–2 week audit of your workflows, data, and systems. Deliverable: a prioritized roadmap with ROI estimates.
Architecture, security review, and a working prototype against your real data — before you commit to the build.
Fixed milestones, weekly demos, and continuous evaluation. Code, tests, and documentation transfer as we go.
Monitoring, model updates, and 24/7 production support — or a clean handover to your internal team.
A defined build with fixed milestones and a fixed price — best for a first system or a well-understood problem. Typical duration 8–20 weeks.
Best for: first engagements, single workflowsA monthly engagement covering roadmap, new builds, and production support across systems — with priority access to the team that built them.
Best for: multi-system AI programsOne or two Parry engineers inside your team for a quarter — to stand up an agent platform, an MLOps practice, or a robotics program alongside your people.
Best for: building internal capabilityThese are not add-ons or upsells. Every system we ship comes with the artifacts that let you own, audit, and run it without us.
Code, tests, and infrastructure-as-code in your repositories from the first milestone.
Automated tests that score agent and model behavior on every change.
Operating documentation your on-call team can actually use at 2 a.m.
Cost, accuracy, and throughput visible from day one in production.
Working software every week — never a status deck in place of progress.
Training sessions so your engineers own the system with confidence.
Book a discovery call. We will map your highest-value AI and software opportunities — no obligation.