Two agentic systems, both operating in domains where correctness is enforced rather than hoped for. Each is built on the same engineering discipline: narrow specialised agents, deterministic safety layers, grounded retrieval, and instrumentation that makes outcomes measurable.
Family-scale clinical nutrition for India.
India develops metabolic disease decades before healthcare intervenes, and the dietary pattern that causes it is the family's pattern — not the patient's. AVOLA treats the household as the unit of care: one subscription, six conditions, one clinically-safe menu that resolves every member's constraints simultaneously.
Workforce intelligence · B2B SaaSEmployees Amplified.
Companies are deploying AI faster than their people can absorb it, then cutting experienced staff to fund the spend. Forsight measures each employee's AI readiness against what their own manager actually expects, then issues a ninety-day growth plan tied to the tools the company already bought.
AVOLA and Forsight look nothing alike from the outside. Underneath, they are the same class of system, built against the same four constraints.
Each agent has one testable responsibility, not a general-purpose prompt. Failures localise.
A deterministic check between the model's output and the user, enforcing domain rules the model cannot be trusted to remember.
Recommendations trace back to validated protocols or verified organisational data, not to model priors.
Longitudinal tracking that proves whether the system moved the number it claimed it would move.
We work with clinics, employers, HRMS platforms, L&D companies and staffing firms. If one of these products maps to a problem on your desk, we would like to hear about it.