UnifAI unifies your AI stack — custom agents, fine-tuned models, and enterprise governance — deployed securely into your environment. Swap models without rewriting agents. Ship AI that actually works.
Most enterprise AI implementations are silently locked to a single vendor. When pricing shifts or a better model ships, you're stuck. UnifAI agents are built model-agnostic from the start — each step in a workflow can use a different provider, pinned to a specific version or dynamically routed by cost and capability.
Most organizations have a small group that deeply understands how AI applies to their specific workflows. The challenge isn't getting those people to use AI — it's scaling that knowledge across the business without creating inconsistency, risk, or shadow IT. UnifAI turns institutional AI expertise into governed, reusable agents anyone on the team can run safely.
Asking an indeterminate system to produce deterministic results is hard. Giving ungoverned agents access to critical systems is a risk most boards haven't quantified yet. The enterprises that lead the next decade will be those that solve governance — not just adoption — aligning the right use cases to the right controls from day one.
Most enterprise AI security failures aren't model failures. They're access failures — ungoverned tools, unscoped agents, and data moving through systems no one approved. UnifAI's security posture is built into the infrastructure layer, not layered on top of it.
Every user and every agent runs in its own container. Hard tenant isolation is enforced at the infrastructure level — your data, your clients' data, and your model outputs never share an execution environment. SSO and IdP integration (Okta, Azure AD) means AI access is governed by your existing identity policies, not a separate credential surface to manage and audit separately.
InfrastructureA well-scoped agent is a security control. Every UnifAI agent is purpose-built against a specific workflow — it can only access the systems, data, and tools it's explicitly authorized for. That boundary isn't a setting. It's the architecture. When an agent misbehaves or is targeted, the damage is contained to what it was permitted to do. Prompt injection, privilege escalation, and unauthorized actions run into a wall that isn't configurable away.
Agent SecurityShadow AI exists because the approved tools don't fit the work. When employees route around IT to use personal AI accounts, the data leaving is real — the audit trail covering it is not. UnifAI's SSO integration and workflow-native agents make the governed platform the one people actually want to use. When the sanctioned tool is the best tool, shadow AI becomes a policy violation instead of a practical workaround. Everything that happens inside UnifAI is logged.
Access ControlMost AI initiatives stall between proof-of-concept and real deployment. UnifAI handles the full stack so you ship instead of stall.
We start with your workflows, data, security posture, and the use cases that will create the most leverage. No generic blueprints.
Purpose-built agents for your specific processes — model-agnostic from the start, with access controls and audit trails built in, not bolted on.
Where generic models fall short, we fine-tune. Your domain, vocabulary, and decision logic — in a model that belongs to you.
Secure deployment into your cloud or on-premise environment. Hard multi-tenant isolation enforced at the infrastructure level. Your data never leaves your perimeter.
Proven agent workflows distributed across the organization. Your best AI knowledge becomes institutional, not individual.
Multi-step agents built around your business logic. Each step can use a different model — commercial, open-source, or custom — with full orchestration, tool use, and audit trail.
CoreModels trained on your proprietary data and domain. Better accuracy, fewer hallucinations, outputs that match how your organization actually thinks and decides.
CoreDeploy into your AWS, Azure, GCP, or on-premise environment. Hard multi-tenant isolation. Your data and your customers' data stay where they belong.
CorePin steps to specific models or route dynamically. Swap vendors without rebuilding agents. Mix commercial and custom models in the same workflow.
ArchitectureRole-based access, full audit trails, budget controls, and SOC 2-ready infrastructure. AI with accountability built in from the start, not added after an incident.
GovernanceOne transparent invoice across all AI providers at cost + 15%. Real-time usage analytics and spend controls. Replace five subscriptions with one governed platform.
OperationsYou pay actual AI model costs plus a flat 15% platform fee. No per-seat markups, no arbitrary usage tiers, no vendor lock-in. Setup and advisory are fixed and scoped upfront — no surprises mid-engagement.
Tell us about your environment. We'll tell you what it actually takes to get AI into production — no slide deck required.