Reasoning-first. Multi-agent. Connected to your systems of record. The engine that turns conversations into workflows — across SMS, WhatsApp, email, chat, voice, and social, into your CRM, ERP, and PMS.
MEVA is built on three principles that distinguish it from chatbot platforms and retrieval-only AI vendors.
Most AI vendors retrieve text from a knowledge base. MEVA reasons: it understands intent, evaluates options, and decides the next action — then takes it.
Specialised agents (Marketing, Sales, Service, Success) collaborate on shared customer context — not isolated bots with their own data silos.
MEVA reads from and writes to your CRM, ERP, PMS, and ITSM directly. The agent doesn't just respond — it executes the workflow.
Most AI customer engagement vendors are RAG-only: they retrieve text and respond. That's not enough for execution.
| Capability | RAG-only chatbots | MEVA (reasoning-first) |
|---|---|---|
| Answer FAQs | ✓ | ✓ |
| Look up customer data | Sometimes | Always — connected to CRM |
| Take action in your systems | No | Yes — writes to CRM, ERP, PMS |
| Make multi-step decisions | No | Yes — reasoning across data |
| Multi-agent collaboration | No | Yes — shared context |
| Audit and override | Limited | Full HITL controls |
Different jobs require different agents. MEVA coordinates them across one conversation, one customer, one workflow.
Marketing, Sales, Service, Customer Success, Internal Service agents — each with domain expertise and shared context.
Reusable workflow templates — cart recovery, trial-to-paid, donor reactivation — that agents execute.
Continuous customer memory across channels, sessions, and systems. The agent knows what was said yesterday.
Every agent action is auditable, overridable, and escalation-aware.
Content safety, response policy, audit logs, and compliance for every agent action.
PII redaction, prohibited-claim filters, brand-voice enforcement.
Every decision, every action, every override — captured and searchable.
SOC 2 Type I, GDPR, end-to-end encryption, SSO via SAML/LDAP.
Deep dive on the engine: reasoning model, multi-agent coordination, memory architecture, integration model, governance.
MEVA is model-agnostic. We use frontier reasoning models (GPT-4 class, Claude 3.5 class, Gemini Ultra class) for orchestration and specialised models for retrieval, classification, and embedding. Customers can specify model preferences via configuration.
Most agent responses complete in under 2 seconds. Multi-step workflows complete in 4–8 seconds. We measure and report p95 and p99 latency in the customer dashboard.
AWS (us-east-1, us-west-2, eu-west-1, ap-south-1) and Azure. Customer data residency configurable. SOC 2 Type I, GDPR-compliant. See Trust Center.
Enterprise customers can deploy MEVA against private or self-hosted models including Claude, GPT-4, Llama, Mistral. Configuration via MEVA admin console.
Architecture deep dives for technical evaluators. Security reviews for procurement. Demo sandbox access.