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LoranJacobs Sigil

IVA Platform: Enterprise Conversational AI & Digital Assistants

From €15,000.00

Excluding Sales Tax |

Deployment & Licensing Tier

Quantity

Executive Overview

AI-Systems IVA Platform is an enterprise conversational AI and Natural Language Understanding (NLU) ecosystem engineered to automate customer communication channels, enterprise service desks, and high-throughput telephony. Built to replace rigid legacy IVR trees with cognitive intent resolution, the platform processes concurrent user sessions with sub-second response times (<0.1 s) and intent recognition accuracy exceeding 97%.

By scaling from lightweight text FAQ engines to carrier-grade voice AI clusters, IVA Platform automates up to 80% of routine Tier-1 inquiries, deflects contact center call volumes, cuts customer support operational costs by up to 30%, and streamlines administrative document approvals with zero manual intervention.

Neural & Technological Stack

Natural Language Understanding Core: Deep-learning transformer architectures (BERT/RoBERTa) for intent classification, entity extraction, and automated synonym normalization.
Dialogue State Management: Deterministic and probabilistic finite-state machine (Rasa Core execution engine) maintaining conversational context across multi-turn user sessions.
Industrial Voice AI Gateway: Streaming Automatic Speech Recognition (NVIDIA NeMo ASR) and neural Text-to-Speech synthesis (Tacotron 2 / WaveGlow) with carrier-grade SIP/telephony integration.
Asynchronous Messaging Architecture: High-throughput event routing bus (Redis, NATS) supporting scalable workloads from 25 to 2,000+ requests per second (RPS).
No-Code Visual Scenario Builder: Web-based workflow designer empowering non-technical analysts to assemble complex multi-step dialogue trees, forms, and custom Python actions.

Target Industry Verticals

Financial Services & Banking: Automated account inquiries, transactional verifications, card servicing, and fraud alerts.
Telecommunications & Support Desks: Tier-1 customer care, automated tariff recommendations, SIM provisioning, and balance management.
Corporate HR & Shared Service Centers (SSC): Automated 2-NDFL certificate generation, vacation scheduling, business travel approvals, and IT ticketing.
Public Services & Smart Infrastructure: Citizen hotlines, municipal service routing, medical appointment scheduling, and automated regulatory navigation.

Deep-Dive Reference

Explore full architectural whitepaper and engineering case studies in My Projects.

Deployment & Licensing Matrix

Lite (Text FAQ)

- Target Capacity: Up to 1,400 Monthly Active Users (MAU) | 25 concurrent requests/sec (RPS)

- Scenario Complexity: Standard FAQ question-and-answer retrieval

- Interaction Channels: Digital text communication channels (Web Widget)

- Voice Capabilities: None (0 concurrent calls, no telephony gateway)

Starter (Extended FAQ)

- Target Capacity: Up to 1,700 Monthly Active Users (MAU) | 50 concurrent requests/sec (RPS)

- Scenario Complexity: Standard FAQ intent classification

- Interaction Channels: Digital text communication channels

- Voice Capabilities: None (0 concurrent calls, no telephony gateway)

Starter + (Scenario Workflows & SMS)

- Target Capacity: Up to 2,500 Monthly Active Users (MAU) | 75 concurrent requests/sec (RPS)

- Scenario Complexity: FAQ + multi-turn conversational scenarios

- Interaction Channels: Text communication channels and SMS notifications

- Voice Capabilities: None (0 concurrent calls, no telephony gateway)

Junior (Mid-Level Business Scenarios)

- Target Capacity: Up to 4,200 Monthly Active Users (MAU) | 100 concurrent requests/sec (RPS)

- Scenario Complexity: FAQ + multi-turn conversational scenarios and dynamic form filling

- Interaction Channels: Text communication channels and SMS notifications

- Voice Capabilities: None (0 concurrent calls, no telephony gateway)

Middle (High-Load Text Automation)

- Target Capacity: Up to 10,100 Monthly Active Users (MAU) | 200 concurrent requests/sec (RPS)

- Scenario Complexity: FAQ + advanced branching business scenarios

- Interaction Channels: Omnichannel text (Web, Messengers) and SMS notifications

- Voice Capabilities: None (0 concurrent calls, no telephony gateway)

Middle + (Enterprise Text Scale)

- Target Capacity: Up to 20,100 Monthly Active Users (MAU) | 300 concurrent requests/sec (RPS)

- Scenario Complexity: FAQ + advanced branching business scenarios with external API hooks

- Interaction Channels: Omnichannel text and SMS notifications

- Voice Capabilities: None (0 concurrent calls, no telephony gateway)

Professional (Voice AI & Telephony Gateway)

- Target Capacity: Up to 33,000 Monthly Active Users (MAU) | 500 concurrent requests/sec (RPS)

- Scenario Complexity: FAQ + complex business logic across text and voice

- Voice Capabilities: Professional Voice AI Engine, Native Telephony Integration, AI Voice Generation

- Concurrent Voice Channels: Up to 50 simultaneous active calls

Professional + (High-Density Voice Operations)

- Target Capacity: Up to 42,000 Monthly Active Users (MAU) | 1,000 concurrent requests/sec (RPS)

- Scenario Complexity: FAQ + complex business logic across text and voice

- Voice Capabilities: Professional Voice AI Engine, Native Telephony Integration, AI Voice Generation

- Concurrent Voice Channels: Up to 100 simultaneous active calls

Enterprise Starter (Large-Scale Contact Center)

- Target Capacity: Up to 83,000 Monthly Active Users (MAU) | 1,500 concurrent requests/sec (RPS)

- Scenario Complexity: FAQ + enterprise-grade multi-agent scenarios with deep ERP/CRM sync

- Voice Capabilities: Enterprise Voice AI Engine, Carrier-Grade Telephony, Neural Voice Synthesis

- Concurrent Voice Channels: Up to 300 simultaneous active calls

Enterprise (Carrier-Grade Omnichannel Infrastructure)

- Target Capacity: Up to 124,000 Monthly Active Users (MAU) | 2,000 concurrent requests/sec (RPS)

- Scenario Complexity: FAQ + mission-critical business scenarios and distributed agent orchestration

- Voice Capabilities: Enterprise Voice AI Engine, Carrier-Grade Telephony, Neural Voice Synthesis

- Concurrent Voice Channels: Up to 500 simultaneous active calls

- Dedicated on-premises Kubernetes deployment, 24/7 mission-critical SLA, and source code escrow

Enterprise Connectors: Pre-built integration bridges for 1C Enterprise, SAP, Microsoft Active Directory, Jira, and enterprise CRM solutions.
Developer APIs: RESTful endpoints, streaming WebSockets, gRPC services, and a dedicated Python runtime for custom business logic execution.
Implementation Timelines: 2–4 weeks for text-based pilot workflows; 2–4 months for complete enterprise telephony and on-premise Kubernetes clustering.
Service Level Agreement: Up to 99.95% system uptime SLA with 24/7 incident monitoring and a guaranteed 2-hour priority emergency response window.
Air-Gapped Deployment: High-tier deployments (Professional and Enterprise) operate completely within isolated private perimeters without external cloud dependencies.
Data Ownership: 100% of dialogue transcripts, customer data, and voice recordings remain within client-owned certified relational databases (PostgreSQL Pro Certified).
Access Governance: Enterprise Role-Based Access Control (RBAC), multi-tenant data isolation, and Active Directory / LDAP single sign-on (SSO).
Cryptographic Security: Strict TLS 1.3 encryption for network communication and AES-256 for data-at-rest encryption.
System Architecture: Decoupled Docker container microservices orchestrated via Kubernetes (Bare-Metal, OpenShift, Rancher).
Compute Footprint: Minimal setup from 16 vCPU / 32 GB RAM for text-only tiers (Lite to Middle+); GPU-accelerated nodes (NVIDIA A10 / A30 / L4) required for real-time voice ASR/TTS tiers (Professional and Enterprise).
Concurrency & Throughput: Dynamic throughput scaling from 25 to 2,000+ requests per second (RPS) with message latency < 100 ms.
Telephony Standards: SIP Trunking, MRCPv2 protocol, RTP audio streaming; compatible with Cisco CUCM, Avaya, Asterisk, and Kamailio.
Operating Systems: Enterprise Linux distributions (Ubuntu Server 20.04/22.04 LTS, RHEL 8/9, Rocky Linux).

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