01 / KNOWLEDGE
Company Knowledge
Connect policies, product docs, support history, source code, contracts, CRM data, databases, and internal systems with permissions-aware retrieval and citations.
Your company already has the intelligence. We make it usable.
Gr8 Idea Studios builds secure, company-specific AI systems that understand your knowledge, connect to your software, and automate the work your teams perform every day.
Private intelligence layerGood morning. Olympus is ready.
Last 30 days+ New workflow
Knowledge sources184● healthy
Agent runs8,426+18.4%
Grounded answers96.8%+2.1%
Agent activityThis week
Recent runs•••
Policy Q&A2 min agoSuccess
PR Review11 min agoSuccess
Ops Report28 min agoSuccess
Ticket Triage41 min agoSuccess
Designed to work with the technology your business already trusts.
Azure
Microsoft 365
GitHub
Salesforce
ServiceNow
SQL Server
Private Cloud
About Olympus
A private intelligence layer for the way your company actually works.
Olympus combines company knowledge, model intelligence, agents, integrations, governance, and evaluation into a secure platform designed around real business operations.
Olympus / Private AI PlatformYour knowledge. Your workflows. Your control.
Built for production
AI that belongs inside the business, not beside it.
The value is not another chat window. It is an AI layer that can securely retrieve what your teams know, understand your terminology, use your tools, and complete approved work with traceability.
PrivateCloud, customer-owned, hybrid, or on-prem
GroundedAnswers tied to trusted company sources
GovernedPermissions, evaluations, logs, and controls
Core capabilities
Everything needed to turn company knowledge into working intelligence.
We choose the right mix of retrieval, model customization, workflow automation, and infrastructure for the outcome—not because a particular AI technique is fashionable.
02 / MODELS
Model Customization
Fine-tuning, adapters, distillation, synthetic data, extraction models, classification, evaluation datasets, and continuous improvement where they create measurable value.
03 / AGENTS
AI Agents
Connect intelligence to approved tools and APIs so agents can create tickets, prepare reports, analyze incidents, update records, generate proposals, and execute multi-step workflows.
04 / INFRASTRUCTURE
Private Infrastructure
Deploy into your environment with model-provider flexibility, cost controls, auditability, isolated data boundaries, and architecture designed for regulated or security-conscious teams.
Ways to work together
Start with one high-value problem. Build toward a reusable AI platform.
Engagements are structured around outcomes, technical risk, and how much of the underlying capability should become durable company infrastructure.
01
AI Discovery Sprint
Prioritize use cases, inspect data and security constraints, create a focused prototype, establish ROI assumptions, and leave with a clear architecture and implementation roadmap.
02
Custom AI System
Engineer a production system including ingestion, RAG, agents, model customization, authentication, permissions, integrations, evaluation, observability, deployment, and documentation.
03
Managed AI Platform
Operate and improve the system over time with monitoring, quality evaluation, workflow updates, model changes, cost management, usage reporting, security maintenance, and support.
Our process
From business problem to production in four clear stages.
No AI theater. Each stage exists to prove value, reduce risk, and build only what deserves to reach production.
Discover
Define the expensive workflow, success criteria, data sources, security boundaries, and the business case for solving it.
Prove
Build against realistic data and measure retrieval quality, task success, reliability, latency, and whether the use case actually works.
Engineer
Productionize permissions, integrations, agents, evaluations, observability, failure handling, security, and deployment.
Operate
Monitor quality, cost, usage, models, workflows, and security while continuously improving what the system can do.
Olympus platform
One governed layer between your company and the AI ecosystem.
Olympus is designed to keep your business independent of any one model vendor while giving teams a secure way to use company knowledge and automated workflows.
- Permissions-aware company knowledge
- Provider-flexible model routing
- Agent execution with approval controls
- Evaluation, observability, and audit history
- Cloud, hybrid, and private deployment options
Olympus / System graph all systems operational
OLYMPUSPRIVATE AI CORE
KNOWLEDGE184 sources
MODELSrouted + evaluated
AGENTSapproved actions
GOVERNANCEauditable controls
Integrations
Your AI should connect to the systems where work already happens.
Olympus can sit across documents, code, communication systems, ticketing, CRM, databases, internal APIs, and business platforms instead of forcing teams into a new silo.
365
SQL
API
GH
CRM
ITSM
Microsoft 365 · GitHub · SQL Server · Salesforce · ServiceNow · Jira · Teams · Slack · Internal APIs · private data sources
Frequently asked questions
Questions enterprise teams ask before AI reaches production.
The technology matters, but security, ownership, integration, and measurable outcomes matter more.
Ask us something ↗Usually no. Most businesses get better economics and faster results by combining strong foundation or open-source models with company-specific retrieval, workflows, evaluation, and targeted fine-tuning when it is justified.
Yes. Architecture can support customer-owned cloud, private cloud, hybrid, on-premises, and local-model deployments depending on security, data residency, integration, and operational requirements.
Security is treated as part of the system architecture: identity and role controls, permission-aware retrieval, data isolation, audit history, explicit tool permissions, approval gates, encrypted connections, and deployment boundaries appropriate to the customer.
Yes. The platform is designed around vendor flexibility. Different workloads can be routed to different hosted or local models based on quality, privacy, latency, cost, and customer policy.
Start with one expensive, slow, repetitive, knowledge-heavy workflow where success can be measured. Prove that use case against realistic data, then reuse the platform capabilities for additional workflows.
Build something useful
Bring us one workflow your company should not still be doing manually.
We’ll help determine whether private AI can make it faster, more reliable, easier to govern, and worth turning into durable business infrastructure.