Most AI stalls without context. Halofy turns your systems into one Context Fabric — then hands every team agents grounded in it.
Data teams unify definitions by hand; product teams hardcode brittle logic into every feature. Halofy maps your rules, workflows, customers, products, and permissions into one graph agents can reason over.
Revenue signals sit across CRM, product, and billing, and reps assemble them by hand while the highest-intent moments go cold. The Copilot surfaces the buyers; the agents act.
Answers live in senior reps’ heads and stale macros, so support scales with headcount. Halofy grounds agents in the graph and your policies — they resolve what they can and escalate what they can’t.
Campaign tools see the list, not the person — and every tool relearns your brand from scratch. Halofy builds segments from real behaviour and runs agents on top.
A generic assistant guesses from the public internet; Halofy's copilot answers from your Business Knowledge Graph - your catalog, orders, refunds, and customer behaviour linked as one live layer - so "which SKUs drove refunds this month, and why?" is one query, not a morning across five dashboards. Faster answers mean you catch the margin leak and the missed sale while they still matter.
You do. Every interaction feeds a knowledge graph that stays yours - the segments, the nudges that convert, the buying signals - first-party intelligence Halofy never trains third parties on, and that you can export at any time. The revenue advantage compounds with you, not a vendor.
You set the guardrails once - tone, discount ceilings, escalation rules - and agents act only within them, so a win-back never breaks your margin floor and a tricky claim routes to a human with the full customer story attached. Every conversation is logged and reviewable.
Yes - Halofy connectors cover the major commerce backends (Shopify, Salesforce Commerce, BigCommerce, SAP, plus payments and marketing tools), and one connector links any LLM you already use, so it's one integration, not a replatform. First agents typically go live in days, not quarters.
Those are great frameworks for building agents - but you'd still build and maintain the context layer, the integrations, the guardrails, and the cost-optimisation logic yourself, then rebuild it each time the models change. Halofy ships that foundation ready-made and model-agnostic, so your team is live in weeks instead of spending quarters on plumbing.
Three ways: the copilot routes each task to the smallest model that can do it well, the graph supplies context once instead of every tool re-sending it, and the optimisation view flags overlapping AI subscriptions. You see the savings itemised per task, team, and tool - a live number, not a promise.
You own both. Everything the graph learns - your SOPs, your product knowledge, your agents' learnings - stays first-party, is never used to train third-party models, and is fully exportable, so there's no lock-in on the asset you're building.
None in particular, and no. Halofy is model-agnostic by design: connect ChatGPT, Claude, Gemini, or your existing agents through one connector, and swap models later with a config change, not a migration - the knowledge graph outlives any single model choice.
Pricing scales with usage across context syncs and agent traffic. Placeholder copy - link to the pricing page for details.
Placeholder copy - explain transaction pricing, volume discounts, and what counts as a transaction.
Cancel anytime; access continues to the end of the billing period. Placeholder copy.
Yes - add VAT numbers, purchase orders, and billing contacts from the dashboard. Placeholder copy.
Update it from workspace settings; changes take effect immediately. Placeholder copy.
Deploy grounded agents in days — owned by you.
