Available worldwide · Popular in: US, EU
What is Contextual AI?
A unified platform that enables enterprises to rapidly build and deploy specialized AI agents capable of reasoning across complex enterprise data, technical documentation, and institutional knowledge to automate high-value tasks at scale with grounded, accurate responses.
Contextual AI pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
On-demand usage-based pricing from $25 free credits, or Enterprise with custom pricing. Component APIs available separately.
On-demand
Usage-based pricing with included free credits
- free_credits
- $25
- Unlimited users
- Document access entitlements
- Usage analytics
- Pipeline observability
- Simple text document ingestion
- Maximum 1 data integration
- Query reformulation and decomposition
- Document retrieval
- Response generation with groundedness evaluation
- Contextual SaaS deployment
Enterprise
Contact salesCustom pricing with enterprise security and performance features
- Unlimited users
- User roles and admin permissions
- Document access entitlements
- SOC2 Type II compliance
- HIPAA compliance
- SAML/SSO
- Role-based access control
- Usage analytics
- Pipeline observability
- Uptime SLA
- Complex document processing with charts and images
- Unstructured data support
- Structured data support
- UI-based and continuous data ingestion
- Unlimited data integrations
- Dedicated support
- Onboarding services
- Custom development support
- Custom data retention
- Customer VPC or SaaS deployment
Add-ons
- Parse - Text Only$3 per 1000 pages
- Parse - Multimodal$40 per 1000 pages
- Rerank v2$0.05 per million tokens
- Rerank v2 Mini$0.02 per million tokens
- Generate - Input Tokens$3 per million tokens
- Generate - Output Tokens$15 per million tokens
What Contextual AI does
The capabilities that matter for rag tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Hybrid retrieval
- -
- Reranking integration
- ✓
- Multi hop agentic retrieval
- ✓
- Embedding provider agnostic
- ✗
- LLM provider agnostic
- ✗
- Built in rag eval metrics
- ✓
- Citation attribution
- ✓
- Multimodal rag
- ✓
- Managed ingestion pipeline
- ✓
- Open source
- ✗
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Hybrid
Integrations (1)
Independently observed- Google Cloud
Contextual AI alternatives
Other rag tools we track, ranked by the same independent score.
- RagieA managed service that automates document ingestion, parsing, and intelligent retrieval for AI applicationsmedium · 55%
- LightRAGlow · 16%
- Amazon Bedrock Knowledge BasesManaged retrieval-augmented generation service that connects AI applications to proprietary enterprise datamedium · 62%
- PathwayA streaming data framework for building real-time AI and ML applicationslow · 36%
- Ragaslow · 27%
- Kotaemonlow · 23%
Compare Contextual AI
Side by side against other rag tools, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Contextual AI, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 55 | 0.08 | 4.6 | ✓ |
| Security posture | 60 | 0.07 | 4.4 | ✓ |
| Capabilities | 81 | 0.05 | 4.0 | ✓ |
| Integrations | 9 | 0.04 | 0.4 | ✓ |
| Price level | 0 | 0.05 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Multimodal rag, Citation attribution, Reranking integration, Built in rag eval metrics, Managed ingestion pipeline, Multi hop agentic retrieval | mediumsource · 2026-08-25 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 1 | mediumsource · 2026-08-25 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |