Heuman Labs
We sit with founders and stakeholders, then put intelligence into the workflows that run the business.
Our research areas
Our teams are specialised to research and implement these disciplines — so foresight, decision systems, agentic optimisation, and custom GPTs land inside the workflows your company already runs.
Score what is likely to happen next.
Models trained on CRM, product events, billing, and support history — ranking customers and deals by likelihood to buy, churn, convert, or engage.
Choose what to do with that foresight.
Systems that take those scores plus operational data — pricing, inventory, credit, campaigns — and prescribe or automate the next move under uncertainty.
Agents that run the loops your teams repeat.
Goal-directed systems that plan, tool-call, and close the loop on workflows — routing, follow-ups, reconciliations, and exception handling — under human-set policy.
Institutional knowledge, callable on demand.
Purpose-built assistants grounded in your documents, systems, and house style — so executives and operators get answers that match how the company actually decides.
Approach
Sit with the people who decide.
Founders and stakeholders ready to go AI-first — not to chase tools, but to redesign how judgment moves through the company.
Metrics on demand
Start with a KPI you care about. We research how to improve it on your data and workflows, then build the systems that deliver the change.
Metrics on demand
Start with a KPI you care about. We research how to improve it on your data and workflows, then build the systems that deliver the change.
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Run core workflows faster end to end.
Agentic paths and decision systems that cut wait, handoffs, and repeat steps.
Pricing
Research produces findings — not software. Prototype validates a single use-case. Build delivers production systems under a formal quote.
A structured assessment of where intelligence creates leverage in your operation — before capital is committed to build.
$1,899
USD · fixed engagement
A working demonstration of the priority use-case — sufficient to validate approach, data readiness, and executive fit.
$2,899
USD · fixed engagement
Full production delivery via the Blueprint pathway — Connect, Map, Research, and Build — scoped to the metric you own.
Get a quote
Custom statement of work
Full scope, exclusions, and how engagements sequence — on one page.
View full pricingReviews
Three fixed stages. Research ($1,899, about 2 weeks) produces a written assessment of where AI should go in your operation — interviews, workflow and data mapping, a ranked opportunity list, and a recommended next step. Prototype ($2,899, about 1 month) builds one working demonstration of the top opportunity for stakeholder review. Build is a custom-quoted production system, typically 12–24 weeks, delivered through our Blueprint: Connect → Map → Research → Build.
You receive a written brief: interview findings, a map of workflows and data paths, opportunities ranked by impact and feasibility, risks, and whether to Prototype, Build, or wait. You do not receive software, integrations, or a production system. Research exists so you can buy that clarity before funding build work.
We do not start by picking a model or shipping a generic chatbot. We start with founders and operators, then install systems into the workflows that already run revenue, cost, and judgment — with named owners and success metrics. Slides and tool demos are not the deliverable; Research findings or working systems are.
Work tied to a business metric you own. Predictive scoring (purchase, churn, conversion, engagement), Decision Intelligence that recommends or automates the next action, agents that run repeating operational loops under your rules, and custom GPTs grounded in your documents and systems. Purely exploratory demos with no metric owner are out of scope.
No. Research maps your data paths and gaps as part of the engagement. Prototype then runs one use-case against your real systems so you see performance limits before Build. You need access to the people who decide and the operators who run the workflows — not a finished data platform.
We interview executives and operators, map how work actually runs, and write findings you can circulate internally. Prototype and Build are staffed by forward-deployed engineers and AI/ML specialists. You stay the metric owner; we design so your team can operate and defend the system after handoff — with documented scope, timeline, and success criteria on Build.
Research and Prototype are fixed USD prices above. Build is quoted per engagement after the opportunity is clear — usually after Research or Prototype. You are not asked to buy production software first. Start with Research if you need the ranked map; start with contact if you already know the metric and want a Prototype or Build conversation.
