Agents fitted to the way your business actually runs.
We design, build and run custom AI agents for manufacturing, materials R&D, engineering, healthcare, finance and marketing teams. Each one is wired into your systems, tested on your own cases, and answers to the people who own the work.
Typical pilot: one workflow, 6–8 weeks.
- mes.query()Pulled 186 lots from Line 4 since Monday and split them into passing and failing groups by defect code.
- historian.read()Found reflow zone 6 running 4 °C above setpoint on 81% of failing lots, starting after Tuesday's maintenance.
- qms.search()Matched the pattern to a 2025 8D on the same oven, where a replaced thermocouple was miscalibrated.
Six fields, each with its own systems, rules and vocabulary.
A general-purpose assistant does not know your MES tags, your design codes or your compliance policy. Our agents are built around them from the start.
Advanced Manufacturing
Agents that read MES, SPC and QMS data, trace yield losses to root cause, draft 8D reports and plan changeovers, with engineers signing off every change.
- Yield-drop root-cause analysis
- Production scheduling and changeover planning
- 8D, PFMEA and SOP drafting from defect records
- Maintenance work-order triage from sensor alarms
New Materials R&D
Agents that turn scattered experiments, papers and instrument files into structured data, then propose the next formulations and flag patent risk before scale-up.
- Formulation and process-window recommendation
- Literature and patent mining into composition–property datasets
- Characterization data interpretation and ELN structuring
- Freedom-to-operate pre-screening
Engineering Design
Agents that check drawings against codes, generate parametric models from briefs, trace design changes into quantities, and draft RFIs and submittal reviews for engineers to sign.
- Code-compliance review of drawings and calculations
- Parametric model generation from design briefs
- Design-change impact and bill of quantities
- RFI, specification and submittal drafting and review
Healthcare Services
Agents that run follow-up, documentation, intake and payer paperwork around care, with every clinical judgment left to licensed clinicians.
- Post-discharge and chronic-disease follow-up
- Discharge summary and referral letter drafting
- Patient intake and appointment routing
- Prior authorization and claims coding support
Fintech
Agents that prepare KYC files, triage AML alerts, draft credit memos and map regulatory change, with every decision left to an authorised officer.
- KYC/KYB onboarding review
- AML alert triage and SAR narrative drafting
- SME credit memo drafting
- Regulatory change impact analysis
Marketing
Agents that draft on-brand content with claim checks, read campaign data across platforms, research target accounts and localize campaigns, with marketers approving what goes live.
- On-brand content production with claim checks
- Campaign analytics and budget reallocation proposals
- Account research and personalized outreach for B2B pipeline
- Localization of campaigns across languages and markets
From one real workflow to an agent your team relies on.
Every engagement follows the same six stages. Nothing goes live until it has run beside your team and been measured against their work.
Discovery
We sit with the people who do the work and map one workflow end to end, exceptions included.
Design
We decide where the agent acts, where it asks, and where a person signs off, and agree how success is measured.
Build and ground
We connect your systems and data, write the tools the agent uses and build an evaluation set from your real cases.
Shadow run
The agent runs beside your team on live work without acting. We compare its output with theirs.
Deploy
It goes live with permissions, rate limits and an audit trail, on-premise or in a private cloud if required.
Operate and improve
We monitor quality, learn from corrections and extend to the next workflow.
What deep customization means in practice.
Your data, your rules
Grounded in your documents, systems and historical records, with your policies written in as hard constraints.
People sign off
Approval steps are designed in from day one for every decision that carries risk.
Measured on your cases
Each agent ships with an evaluation set drawn from your own work, re-run on every change.
Deployed where you need it
Public cloud, private cloud or on-premise, with the model provider you choose.
Start small. Expand once the numbers hold up.
Pilot
6–8 weeksOne workflow, one team, one clear success measure.
- Workflow map and evaluation set
- Working agent in shadow mode
- Go/no-go report with measured results
Production
3–6 monthsTake a proven workflow live and connect it to your core systems.
- Full system integration
- Permissions, monitoring and audit trail
- Team training and handover
Partnership
OngoingA standing team that builds and runs agents across departments.
- Roadmap across business units
- Shared agent platform and tooling
- Quarterly review of results
Bring us one workflow.
Tell us how the work is done today and where it slows down. We reply within two business days with questions or a pilot outline.