Pro-grade RAG tuning
Take control of accuracy with Top-K, re-rankers, and similarity floors. Optimize speed with built-in semantic caching.
Bring Architecture to AI
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Bring the Dawn to your Data
Multitenant AI control plane · launching November 1,
2026
Production AI agents grounded in your knowledge
Govern AI intelligence across every workspace with sovereign infrastructure, deep RAG tuning, and a transparent credit-based ledger.
- RAG Forge: tuning, citations, and evaluation scorecards
- Living knowledge: URLs, shared library, and re-indexing
- Production widgets: sandbox, branding, prompts, and telemetry
- Governance: RBAC, MFA, audit trails, and transparent credits
Automated Quality Assurance
Define scorecards with "must-include/exclude" rules and run automated tests against your agents to ensure perfect answers.
Live knowledge SLAs
Monitor document freshness. The system detects stale knowledge and manages re-indexing queues automatically.
How Eosphorus Works
Deploy secure AI infrastructure in three deterministic steps.
01
Connect Knowledge
Upload PDFs, Markdown, or link URLs. We chunk and embed your data into isolated vector stores.
02
Configure Behavior
Choose your model, set the response mode (Knowledge-only or Assistant), and tune the prompt instructions.
03
Architectural Deployment
Deploy intelligence at the edge. Embed our Shadow-isolated client for instant web parity, or leverage our headless API for bespoke, sovereign interfaces.
One AI Agent Platform for Every Assistant and Workspace
Build once, then isolate, govern, and reuse by workspace.
Flexible response modes
Switch between strict "Knowledge Only", "Hybrid", or "Free Assistant" modes depending on each workspace use case.
Transparent credit ledger
Usage-based billing with an append-only ledger. Track exactly which agent and which mode is consuming your resources.
Integrated human follow-up
Capture leads and human help requests when AI isn't enough. Integrated status management and ticket claiming.
Three Ways Technical Teams Deploy AI Assistants
Next-gen Customer Support
Answers only from help center content and support documentation. Perfect for teams scaling without doubling headcount.
- 100% document-based answers
- Smart human handoff
User
How do I reset my password?
Eosphorus
Go to the login page and click "Forgot my password". You'll receive a reset link in less than a minute.
Enterprise AI Infrastructure: Isolation, Reliability & DX
Tenant isolation
- Separate workspaces
- Administrative RBAC
- Full audit logs
- Row-level security (RLS)
Tenant Isolation
RBAC
Audit Logs
Google Cloud
OpenAPI 3.0
MFA
Built on Google Cloud infrastructure
AI Data Governance: Tenant Isolation, Audit Logs & Privacy Workflows
Controls designed to separate tenant data and support privacy and audit work.
Infrastructure
Tenant Isolation
Tenant-scoped access controls and row-level security keep workspaces separated.
Compliance
Total Auditability
Configuration and activity logs for operational and compliance review.
Operations
Cloud deployment controls
Protected ingress and secure webhooks for a controlled cloud architecture.
Team
Eosphorus is a founder-led startup built by Antonio Roba Aparicio, who owns the product architecture, AI/RAG research direction, and Google Cloud-oriented production infrastructure.
Founder & Technical Lead
Antonio Roba Aparicio
Antonio leads the technical build of Eosphorus: tenant-isolated AI assistants, retrieval-augmented generation, RBAC controls, credit ledgering, observability, and cloud deployment for production operations.
- Multitenant SaaS architecture and data security
- RAG, embeddings, evaluation, and answer quality
- Cloud infrastructure, automation, and auditable operations
AI Agent Platform Pricing: From $24/mo with custom deployments available
Pick the tier that matches your launch scope, controls, and integration needs.
Starter
$24/mo
For a single workspace or proof of concept.
- 1 agent
- 100,000 monthly credits
- Knowledge-only mode
- Website embed
- Basic analytics and a single-owner workspace
Growth
Best for teams
$69/mo
For teams sharing knowledge across multiple agents.
- Up to 5 agents
- 300,000 monthly credits
- Knowledge + assistant mode
- Shared docs across agents
- Agent duplication and embed customization
- Top questions, ranked actions, and webhook integrations
Pro
$199/mo
For production assistants with governance and integrations.
- Up to 20 agents
- 1,000,000 monthly credits
- All response modes
- Advanced analytics, RBAC for governed workspace operations, and company-domain controls
- Higher rate limits and priority processing
- Priority support
- API keys for programmatic access
- Key rotation and widget outcome telemetry
Custom deployments
Contact us
Need custom branding, domains, usage limits, or onboarding? Talk with us about availability.
- Deployment requirements reviewed with you
- Custom branding and domains
- Tailored onboarding and support options
- Availability confirmed case by case
Compare plans
The differences that matter most for a launch decision.
Product updates
Recent improvements
See what’s improved in Eosphorus and how the platform continues to evolve.
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AI Agent Platform — Frequently Asked Questions
Quick answers for technical teams who want the basics first.
Is my data used to train models?
No. Your data is isolated per tenant and is never used to train global or shared models. We strictly follow a zero-training data policy.
How secure is the data isolation?
We utilize RLS (Row Level Security) and dedicated identity proxies to guarantee that one tenant can never access another's knowledge.
What is a credit?
Credits measure AI usage. A response uses 200-500 credits depending on length; knowledge-only is the most efficient. They reset monthly.
Can I use my own cloud?
Yes. Our corporate plans allow deployment of Eosphorus engines directly into your own Google Cloud (GCP) projects.
Can I change plans?
Yes. Upgrades take effect immediately. Downgrades apply at end of billing period.
How does Eosphorus handle GDPR compliance?
Tenant-scoped controls and GDPR export/erasure APIs are available on Pro and above to support privacy workflows.
What LLMs does Eosphorus use?
Eosphorus is powered by Google Gemini (Flash Lite for standard tasks, Flash and Pro for higher tiers) for chat responses, and OpenAI text-embedding-3-small for vector retrieval.
What is the difference between RAG and fine-tuning?
Fine-tuning changes the model's 'personality' through training. RAG (Retrieval-Augmented Generation) provides specific context from your docs in real-time. RAG is more accurate and prevents hallucinations.
Can I migrate from Chatbase or Botpress?
Yes, you can migrate in minutes by uploading your documents or using our API to bulk-import knowledge. We offer more granular data isolation.
Does Eosphorus support SSO/SAML?
Yes. Single Sign-On (SSO) and SAML integration are available for Pro and custom deployments to ensure secure access via your corporate identity provider.
How does the credit ledger work?
Every credit consumed is recorded in a transparent ledger. You can audit exactly how many credits each agent or tenant is using in real-time.
Get ready for the November 1 launch
Get RAG Forge, governed workspaces, and production-ready widgets from day one.