Orq.ai vs Contextwaise

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Orq.ai compared with Contextwaise
Detail	Orq.ai	Contextwaise
What it does	EU-built control plane for enterprise AI that governs every LLM and MCP call	Context optimization for production AI
Stage	Not given	MVP
Founded	Not given	Not given
Based in	NL	GB
Pricing model	Freemium	Freemium
Pricing	Pay-as-you-go: 1M free requests per month with BYOK (bring your own keys), then 4% fee; 4.5% fee on Orq.ai keys. Included monthly: 100k spans, 1 GB processed data, 500 agent runs, unlimited AI Gateway seats. AI Studio seats €35/seat/month. Spans €7 per 100k after included allowance. Processed data €	Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
Key features	OpenAI-compatible API for 500+ models from 30+ providers MCP Gateway for governed tool calls Budgets, spend limits and guardrail enforcement PII detection and redaction Agent Runtime for single and multi-agent systems Knowledge bases with RAG and document processing EU data residency and GDPR compliance SOC 2 Type 2 attestation and compliance tools Audit logs and comprehensive activity tracking	Removes duplicate context and off-topic results Works with any LLM provider API and SDK integrations Quality guard checks if kept context is sufficient Local cleanup of tool output and JSON fields Fallback to original context on service failure Per-agent budgets and token limits Savings report showing cost avoided
What makes it different	EU-built platform with sovereignty and data residency control Single control plane for both AI traffic and autonomous software delivery No vendor lock-in with bring-your-own-keys and easy data export Governance applied in real-time during execution, not after the fact Humans remain in control of critical decisions in autonomous software delivery	Reduces input tokens to LLMs by 56–71% on average Optimizes in milliseconds without slowing requests No model or provider changes required Every removal logged with reason and recoverable
Community votes	0	0
DR (Domain Rating by Ahrefs)	54 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	13	6
Citation Flow (Majestic)	41	19
Referring domains (Majestic)	791	2

6 details filled in for both companies.

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