Different industries, the same move - from the old way to running on AI.
Palaris have been outstanding partners - combining deep product understanding, disciplined execution and clear documentation to turn a complex health-and-wellness AI vision into a high-quality working system.
Fifteen-plus years of contracts, documents and communications, scattered across systems - every question meant someone reconstructing the answer by hand. We built one structured, governed knowledge base around their real entities. Now the full history on any fund or decision comes back in seconds, every answer source-linked and audit-ready. Live in weeks.
Four systems, six lab providers and a scribe tool with no export - staff rebuilding each patient's history by hand. We built a unified, HIPAA-compliant operating system: native transcription, AI extraction and one patient record, with every clinical step held under review before it moves.
30,000 candidate and client records no one could search. We merged their systems and turned the raw archive into a structured, deduplicated, classified engine - wired back into the software they already use, so the right person surfaces in seconds.
Eight product design workstreams across five countries, with insight pulled from call notes and spreadsheets by hand before anyone could report on it. We built one governed intelligence layer over the existing systems - Salesforce as the single record, every answer cited to source - and mobile capture feeding it.
Mandated by a Tier-1 bank to build an AI-powered deal marketplace - structured profiles, matching on real criteria rather than who-you-know, secure deal flows. Built and taken live.
A whole operation - procurement, production, quality, packaging - running on seventeen disconnected paper and spreadsheet forms. We moved it onto one connected system with batch traceability and controls that satisfy Ghana FDA and ISO 22716.
A manual, partner-heavy process for judging inbound deals. We trained a model on the fund's own past decisions; it now scores new deals the way the partners would and flags the weak ones early - so judgement compounds instead of staying in a few heads.
A powerful biometric scan and no way to turn it into ongoing value. We built the AI diagnostic that turns each scan into a personalised, multi-day coaching journey - grounded in the user's own data, held to strict safety rules, from voice intake to a remembered, advisor-like experience.
The signals that decided outcomes - a policy about to lapse, a claim that should have flagged risk on another product, a customer quietly disengaging - sat buried in unstructured policy, claims and conversation records nobody could read at scale. We built the AI signal layer that reads the full history and surfaces the moments worth acting on - each flag ranked, source-linked, and wired into the workflow the team already uses.
Raw satellite imagery and fragmented farm records, turned into commercialisation-grade intelligence - an automated geospatial foundation, farm-boundary detection, and a yield-income-risk layer computing real numbers for every farm.
Billions in funding locked behind thousands of unstructured sites. We built the system that scrapes, structures and unifies them - then automates the applications, collapsing a manual slog into an end-to-end funnel.
A business run natively in their own tools, moved onto an AI-native operating system: a connected data model, plain-language retrieval over their full history, live dashboards, and working agents handling onboarding, marketing and research.