# Aivar

**Canonical:** https://apis.io/providers/aivar/  
**Website:** https://aivar.tech/  
**APIs profiled:** 0

Aivar Innovations is an enterprise AI consulting and development firm that helps regulated and large organizations move agentic AI systems from pilot to scaled production. Alongside strategic AI consulting, custom AI development, managed AI/ML operations, data services, and cloud transformation, Aivar ships three accelerators: Convogent AI (autonomous voice and conversational agents in 16+ languages with sub-500ms latency), Velogent AI (governed agentic process automation for regulated industries), and Kubogent AI (enterprise AI infrastructure on Kubernetes). The company operates a professional-services model and does not currently publish a public, self-service API, SDKs, or developer documentation.

## Kin Score — 10.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Aivar Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Ai Ml, Artificial Intelligence, AI Agents, Consulting, Voice AI, Process Automation, Kubernetes

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/aivar/). Scores are computed from the provider's own public artifacts under a published rubric.