Enterprise‑grade Conversational VoIP AI Agents & AI Engineering Services
We design, build and operate multilingual, secure, cloud‑native VoIP AI agents – from first MVP to large‑scale rollout – with production‑grade MLOps/LLMOps, agentic architecture and MCP‑based integrations into your systems of record. Implementation and AI/MLOps on cloud provider of your choice (AWS, GCP, Azure), including SIP/telephony and internal APIs. Curated, agentic conversation flows with Voice Activity Detection (VAD), Speech-to-Text (ASR), speaker diarization, interruption handling, sentiment and human‑in‑the‑loop handovers. Security‑first: GDPR/HIPAA, data residency, encryption, guardrails and knowledge isolation by design. 6–8 weeks from access to data to first live VoIP AI agent in production.
Enterprise‑grade Conversational VoIP AI Agents & AI Engineering Services
We design, build and operate multilingual, secure, cloud‑native VoIP AI agents – from first MVP to large‑scale rollout – with production‑grade MLOps/LLMOps, agentic architecture and MCP‑based integrations into your systems of record. Implementation and AI/MLOps on cloud provider of your choice (AWS, GCP, Azure), including SIP/telephony and internal APIs. Curated, agentic conversation flows with Voice Activity Detection (VAD), Speech-to-Text (ASR), speaker diarization, interruption handling, sentiment and human‑in‑the‑loop handovers. Security‑first: GDPR/HIPAA, data residency, encryption, guardrails and knowledge isolation by design. 6–8 weeks from access to data to first live VoIP AI agent in production.
Enterprise‑grade Conversational VoIP AI Agents & AI Engineering Services
Most organisations already experimented with voicebots or IVR "AI add‑ons", but struggle to make them production‑ready at scale.
Typical engineering and platform pains:
"PoC hell": one‑off voicebot pilots that never reach production because they lack CI/CD, monitoring, rollback and clear SLOs.
Shadow AI: teams spin up separate agents and call flows on different vendors with no shared standards, governance or observability.
No production‑grade MLOps/LLMOps: manual deployments, no environment parity, no automated testing and no guardrails for new models or prompts.
Lack of agentic architecture: point‑solutions instead of orchestrated AI agents with clear roles, memory, tools and escalation paths.
Integration & MCP governance gaps: brittle custom integrations to CRM/EHR/HR systems, no standard protocol (MCP) and no clear security boundaries.
Telephony and infra constraints: legacy on‑premise call stacks, limited SIP/VoIP expertise and unpredictable latency under real‑world load.
If you are a CDO, Head of Data/AI, Head of Platform, or CTO, this means long time‑to‑market for voice agents, operational risk, and fragmentation instead of a consolidated AI platform for your phone channels.
What We Deliver
AI & GenAI Platform Engineering for Voice
We build and harden the platform your VoIP AI agents run on – not just a single bot.
MLOps & LLMOps for VoIP AI Agents
We turn your agents into a managed, observable product instead of a fragile script.
Agentic Architecture & Orchestration for Voice Agents
We design agentic architecture specifically for telephony use cases.
MCP Integration & Governance
We treat integrations and security as first‑class engineering challenges, not afterthoughts.
Enterprise‑Ready VoIP AI Agents (Business Layer)
On top of the platform, we ship ready‑for‑production agents for your high‑volume phone lines.
What We Deliver
1. Discovery & Architecture
Clarify goals, SLIs/SLOs, security constraints and regulatory requirements.
2. Implementation
Build and integrate production‑grade infrastructure and conversation blueprints.
3. MVP Go‑Live (6–8 Weeks)
Launch a contained but production‑grade VoIP AI agent on a selected line or use case.
4. Run & Scale
SLA‑based support with incremental rollout and continuous optimisation.
How We Work: From Discovery to Run
Meet our results
What our clients say
Paweł Korczak
CEO, Iliada
Gen Yang
Data Science Manager, Kpler
Selected Clients
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Ready to move from PoC voicebots to production‑grade VoIP AI agents? Let's talk about your AI engineering roadmap for voice.
Architecture & Technical Building Blocks
Our platform is built to be resilient, observable and multi‑tenant from day one.
Cloud‑native, event‑driven services with serverless and container‑based components for flexible scaling.
Multi‑region deployments and regional variants for low latency and data residency.
Stateful layers for persistent memory, intelligent caching and fast RAG/CAG access paths.
Built‑in observability: metrics, logs, traces and custom dashboards integrated with your existing tools.
Dynamic routing per call turn to the optimal LLM and TTS engine, balancing quality, latency and cost per tenant.
Security, compliance and governance are embedded into every layer.
ROI & Benefits (Business View)
Cost Reduction
30–50% reduction in telephony and infrastructure costs by moving from legacy lines to cloud VoIP and SIP.
Automation Impact
Automation of up to 80–100% of routine inbound and outbound calls on selected lines, cutting manpower needs by up to 90% and lowering operational costs by as much as 60%.
Cost Per Interaction
40–60% lower cost per interaction while reducing live voice volume by up to 50% without compromising service quality.
Customer Satisfaction & ROI
20–30% better customer satisfaction and up to 8× ROI when scaled across main phone lines.
Drop us a line and check how Data Engineering, Machine Learning, and AI experts can boost your business.
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Architecture & Technical Building Blocks
Cloud & Infrastructure
AWS, GCP, Azure
Serverless and container‑based components
Multi‑region deployments with regional variants
Voice & Audio Stack
Voice Activity Detection (VAD)
Speech‑to‑Text (ASR)
Text‑to‑Speech (TTS)
Speaker diarization
Interruption handling
Low‑latency audio pipelines
AI & LLM Stack
Nova, Claude and other LLMs
RAG/CAG for grounding agents in your own data
Speaker diarization and sentiment awareness
Dynamic routing per call turn to optimal LLM and TTS engine
Integration & Security
MCP‑based integrations to CRM, EHR, HR, billing, logistics, custom APIs
SIP/VoIP, IVR, contact‑center stack integration
Encryption in transit and at rest
RBAC/IAM, data residency options, audit logs
Let’s talk and work together
We’ll get back to you within 4 hours on working days (Mon – Fri, 9am – 5pm CET).
Service Delivery Partner
Our agents handle multi‑turn, human‑like conversations, use an orchestrator and specialised agents, and integrate deeply with your systems for real operations – not just menu trees or static FAQs.
Yes, we integrate with existing VoIP/SIP, IVRs, queues and contact‑center tools, and can coexist with human agents and your current routing rules.
We provide GDPR/HIPAA‑aligned design with encryption in transit and at rest, data residency options, RBAC/IAM, guardrails, knowledge isolation and detailed audit logs for security teams.
End‑to‑end audio latency is usually 500–900 ms depending on model and TTS choices, so calls feel like natural conversations rather than delayed IVR.
We use curated conversation flows, agentic architecture with a safety agent, guardrails and RAG/CAG against your knowledge bases, plus human‑in‑the‑loop and clear handoff thresholds for sensitive cases.
You own your data and configuration; we build on your chosen cloud and a model‑agnostic stack to avoid lock‑in to a single proprietary vendor.
Yes, we provide documentation, playbooks and enablement, with a clear path for your teams to take over configuration, monitoring and optimisation while we stay as a strategic partner if needed.