# AkashX

**Canonical:** https://apis.io/providers/akashx/  
**Website:** https://akashx.ai/  
**APIs profiled:** 0

AkashX is a Techstars-backed data and AI company building an Online Cognitive Processing (OLCP) Database and a declarative "Cognitive SQL" engine for reasoning over structured and unstructured data at scale. Its platform runs small language models in-database to deliver low-latency, token-efficient, deterministic inference as an alternative to probabilistic RAG, with semantic operations such as Cognitive Join, Cognitive Classify, and Cognitive Topic Discovery, plus Ontology Views that turn files into queryable tables for agents. It integrates with lakehouse environments like Databricks and targets financial intelligence, sales analysis, healthcare and clinical-trial, and talent-screening use cases. Added to the API Evangelist network as a Techstars portfolio lead and enriched by the pipeline; no public API, SDK, or developer documentation is published yet.

## Kin Score — 6.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.4).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## 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)

- **Akashx Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Data, Database, Analytics, SQL, Lakehouse, Machine-Learning

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