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A 100% native speech-to-speech platform — proprietary ASR, NLU, LLMs, and TTS — with autonomous task agents, zero third-party data egress, and outcome-based pricing per resolved interaction.
OCP owns every layer — from the acoustic model to the agentic orchestration engine — eliminating third-party data flows, token cost exposure, and compliance blind spots.
Unlike platforms assembled from third-party ASR, LLM, and TTS APIs, OCP is a vertically integrated stack. Omilia's proprietary models are fine-tuned for enterprise voice — not adapted from general-purpose frontier models. This means sub-second latency that external API chains cannot achieve, and a certified security perimeter that zero-dependency architecture uniquely enables.
Deployments run on Omilia-managed AWS infrastructure or on dedicated bare-metal nodes within a customer's own data center. In both modes, no customer utterance data leaves the certified environment — a requirement that PCI Level 1 and FedRAMP mandates.
Proprietary ASR → NLU → Dialog Manager → Lexis TTS. No third-party STT or TTS APIs, ever. Utterance data stays inside the certified perimeter at every hop.
Task Agents resolve complex, multi-step customer requests end-to-end — handling intent shifts, tool failures, and edge cases in real time, without human intervention.
Domain-specific and task-specific fine-tuned models for NLU, retrieval, and spoken summarization. Smaller specialized models outperform frontier LLMs on voice tasks at a fraction of the inference cost.
Six native capability domains — all included, all proprietary, all running inside your certified security perimeter.
Deploy fully deterministic flows, fully autonomous agents, or a hybrid blend — per use case, in the same runtime. No re-platforming when governance requirements shift.
Purpose-built agents that handle complex, multi-step customer interactions end-to-end — from intent detection through system actions and confirmation — without any human involvement for in-scope tasks.
OCP's native neural text-to-speech engine — included at no additional cost for Agentic Voice customers. Deep neural network synthesis with emotion, rhythm, and real-time streaming. No utterance data sent to third-party TTS providers.
Retrieval-augmented generation purpose-built for voice — low latency, hallucination-guarded, grounded in enterprise knowledge sources. MCP-native connector ecosystem replaces bespoke integrations.
Every live conversation feeds an offline learning engine that continuously discovers new resolution patterns, improves automation performance, and reduces operational cost — without touching the live interaction path.
Full stack ownership eliminates the token burn problem. One price per resolved interaction — regardless of agentic steps taken. Self-learning codifies patterns offline, reducing LLM invocations in runtime over time.
The agentic intelligence layer between callers and enterprise systems. Specialized GenAI models — not frontier APIs — process intent, plan tool sequences, dispatch calls in parallel, and synthesize grounded spoken responses within voice-safe latency budgets.
Classifies caller intent in real time, routing between deterministic flows and autonomous execution paths based on confidence scoring and governance rules
Determines which tools to invoke, in what order, and with which parameters — dynamically re-planning when intermediate results change the required path
Async multi-tool execution enables simultaneous API calls, MCP lookups, and knowledge retrievals — delivering sub-300ms aggregate resolution within telephony SLA
Fine-tuned for NLU, retrieval, and spoken summarization. Domain-constrained models eliminate the hallucination surface area inherent in general-purpose frontier LLMs
Each Task Agent is built for a specific interaction type — knowing what it can do, what systems it can access, and when to escalate. No fixed scripts. No brittle decision trees.
Task Agents are purpose-built AI agents, each configured for a specific type of customer interaction — such as dispute resolution, account changes, or policy lookups. Each agent knows which systems it can access, what it is authorized to do, and when it must escalate to a human.
Unlike rigid scripted bots, Task Agents handle real-world complexity: when a caller changes their request mid-interaction, when a backend system returns an unexpected result, or when multiple systems must be queried in sequence, the agent adapts and continues — without dropping the interaction.
Every automated interaction is fully auditable. Each system action, decision point, and outcome is logged with complete attribution — enabling compliance reporting without operational overhead.
Handles complete customer tasks — from understanding the request to taking action in backend systems and confirming the outcome — within a single voice interaction
Adjusts to caller intent changes, unexpected system responses, and mid-conversation pivots without losing context or dropping the interaction
Each agent operates within explicitly configured authorization limits — automatically escalating to a human agent for any task outside its defined scope
Connects to customer APIs, MCP servers, CRMs, and knowledge bases — authorized integrations defined per agent and executed securely within OCP's certified perimeter
Every action, system call, and decision is logged with full attribution — providing a traceable record of every automated outcome for compliance and operational review
Pre-production testing validates agent behavior against real-world interaction patterns before any configuration reaches live customer traffic
OCP's offline self-learning pipeline continuously discovers new resolution patterns, auto-generates Playbooks, and improves automation performance — without modifying the live runtime.
Live interactions are analyzed by the self-learning engine, which continuously identifies where automation could succeed and surfaces recurring resolution patterns from thousands of real customer conversations.
Omilia's AI builds new automation drafts from discovered patterns, ingesting call recordings, transcripts, SOPs, and API specifications. The platform does the heavy lifting — operators review and refine, not engineer from scratch.
Every suggested automation or update is reviewed, edited, approved, or rejected by a business operator before deployment. The platform never auto-deploys changes to the live runtime without explicit human authorization.
Approved changes are validated against pre-production quality checks before reaching live traffic. Automation performance improves continuously — and as more interactions are codified deterministically, runtime AI costs decrease over time.
Three phases from contract signature to live resolution — with no rebuild required when adding new use cases or upgrading from deterministic to agentic.
OCP ingests existing call recordings, transcripts, SOPs, and API specifications. The AI Bootstrapping engine automatically generates initial dialog flows, intents, and training data — reducing deployment timelines from months to weeks. NLU achieves 95%+ intent accuracy before a single manual training example is added.
Task Agents are wired to enterprise APIs and MCP servers via the OCP Orchestration Engine's tool schema layer. The OCP Orchestrator routes between deterministic miniApps® and agentic execution paths — no re-platforming required when blending both. CCaaS connectors (NICE, Genesys, Amazon Connect, RingCentral) activate in the same deployment.
OCP monitoring surfaces confidence signals, flags low-certainty interactions, and feeds the self-learning pipeline continuously. New automation is auto-suggested from live data, reviewed by operators, and validated before reaching production. Comprehensive performance and governance data is retained to satisfy enterprise audit and regulatory reporting requirements.
Built over 23+ years for regulated industries where architectural shortcuts have compliance consequences.
The only platform that natively supports deterministic, generative, and hybrid deployment modes in a single runtime — without rebuilding applications when governance requirements evolve.
PCI DSS Level 1 + FedRAMP-ready + SOC 2 Type II + ISO 27001 simultaneously. Walled garden architecture with zero third-party data sharing — the only configuration that satisfies regulated financial, healthcare, and government mandates.
Full stack ownership — no commercial dependency on any external AI provider. 340+ pre-built NLU intents for financial services. 95%+ Day 1 intent accuracy with AI Bootstrapping from existing transcripts and SOPs.
Built for voice from the ground up — not a text-first platform adapted for telephony. Proprietary ASR, NLU, and Lexis TTS create a single latency-optimized pipeline with no external API handoffs and no utterance data egress.
Offline self-learning continuously discovers resolution patterns from live interactions and codifies them as deterministic automation — reducing AI runtime costs over time. The platform gets cheaper to run as it gets smarter.
OCP is available as a fully managed SaaS on Omilia-operated AWS infrastructure, or as an on-premise bare-metal deployment inside your own data center for Tier 1 financial institution mandates.
Fully managed, multi-tenant SaaS on Omilia-operated AWS infrastructure. Omilia manages model versioning, infrastructure scaling, compliance auditing, and uptime SLAs. Zero operational overhead for the customer.
Omilia-managed AWS, multi-region, auto-scaling
99.9%+ guaranteed with full monitoring and alerting
PCI L1, SOC 2 T2, ISO 27001, HIPAA, GDPR
Continuous model and platform updates managed by Omilia
Dedicated bare-metal nodes deployed inside the customer's own data center or private cloud. Designed for Tier 1 financial institutions and government agencies with strict data residency, air-gap, or regulatory requirements.
Customer data center or private cloud, Omilia-supported
Full data sovereignty — no traffic leaves customer's perimeter
FedRAMP-ready, Cyber Essentials, custom regulatory frameworks
Customer-versioned models, isolated upgrade cycles
The OCP Orchestration Engine connects to enterprise systems via Model Context Protocol (MCP), REST, GraphQL, and SOAP — with standard auth patterns and no bespoke connector development required.
OCP's integration layer is built on MCP as its primary standard. MCP replaces per-enterprise bespoke connectors with a standardized tool interface — reducing attack surface, eliminating maintenance overhead, and enabling a growing shared ecosystem of integrations that customers get automatically.
For systems not yet on MCP, OCP executes tool calls via standard REST, GraphQL, and SOAP endpoints with OAuth 2.0, API key, and custom auth patterns. Parallel async dispatch allows the OCP Orchestration Engine to invoke multiple tools simultaneously — keeping total round-trip time within sub-300ms voice latency budgets even when multiple backend systems are involved.
Context is tracked throughout each interaction and persisted as attached data to CCaaS handoffs — ensuring agents receiving escalated calls have full interaction history without the caller repeating themselves.
Primary integration standard. Standardized tool schemas, automatic ecosystem updates, reduced attack surface. CRM, ERP, ticketing, and database systems available out of the box. No custom connector code.
Full support for OAuth2, API key, and custom auth patterns. Bespoke enterprise endpoints supported with standard parameter configuration. Real-time transactional data retrieval.
Native connectors for NICE CXone, Genesys Cloud, Amazon Connect, RingCentral, Talkdesk, and 8x8. Context passed as structured attached data on escalation — caller does not repeat information.
Ingest PDFs, policy documents, SOPs, and product FAQs via API or direct upload. OCP structures unstructured content into AI-indexed knowledge layers. Supports flat and hierarchical data structures.
OCP's all-in-one architecture keeps all data within the platform with zero third-party sharing — enabling certifications competitors cannot achieve while providing full decision auditability at every level.
For regulated industries, Omilia is the only viable choice for voice automation at scale. Customer data never leaves OCP's infrastructure — no third-party AI providers, no hidden data flows. The walled garden architecture is what makes simultaneous PCI Level 1 and FedRAMP-ready certification possible: both require data sovereignty that external API dependencies break.
OCP enforces multi-layer hallucination prevention. For transactional use cases — payments, transfers, authentication — deterministic execution paths eliminate generative risk entirely. For generative responses, confidence thresholds trigger clarification questions or agent escalation before any uncertain output is delivered. The platform is designed to ask rather than guess — systematically favoring accuracy over volume.
Every automated decision is logged with full attribution. Audit infrastructure spans multiple retention tiers, satisfying both operational review and multi-year regulatory reporting requirements.
All OCP platform activity logged with user-level attribution — model updates, configuration changes, access events. Satisfies enterprise change management and regulatory audit requirements.
Every automated interaction — including all system actions and outcomes — retained with full traceability. A complete, attributable record of every automated decision is available for compliance review.
Aggregated model and application performance metrics retained to satisfy longitudinal governance reporting and multi-year regulatory review requirements.
All model and configuration updates pass automated quality checks before reaching production — validating accuracy, consistency, and behavioral adherence prior to any live deployment.
Inline PCI-compliant masking and adaptive redaction. Sensitive values irreversibly masked before storage or logging. RBAC enforced across all platform functions with mandatory human review for model updates.
No token consumption billing. No compute overage. No surprises. Costs scale with outcomes — not with the number of agentic steps or LLM calls required to reach them.
Foundational IVA platform for structured, deterministic voice automation — high-volume, well-defined use cases with full governance.
Full autonomous platform — Task Agents, zero-shot NLU, self-learning, OCP Knowledge Engine — at one price per resolved call.
On-premise deployment for Tier 1 financial institutions and government agencies with strict data residency mandates.
A platform walkthrough with your own use cases — no slides, no generic demos. Just OCP handling real scenarios.
