Flezi Metis – Software Knowledge Base Extraction & Management for Enterprise
FPT Software · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 6 captures on record
What the publisher says
As described on Microsoft Marketplace.
- Overview / Offer
Flezi Metis is an enterprise software intelligence platform that turns source code, documents, requirements, design specs, wikis, dependency data, and bug history into a structured, AI-ready knowledge base. It helps enterprises understand, maintain, modernize, and operate complex software systems, especially large legacy applications. Flezi Metis provides a grounded knowledge layer so AI tools can reason with better accuracy, lower hallucination risk, and less token usage.
Show the rest of the publisher’s description (32 more lines)
- Key Benefits — Business-Focused
- Lower AI operating cost
Reduces repeated context stuffing into LLM prompts. The deck references token usage reduction and lower token cost compared with running AI agents without Metis.
- Faster engineering productivity
Supports faster code analysis, bug fixing, onboarding, and system understanding. New engineers can understand legacy systems faster through a structured knowledge base.
- Reduced regression risk
Provides dependency tracing, impact analysis, and blast-radius visualization before changes are made.
- Better quality and reliability
AI outputs are grounded in actual code and enterprise knowledge, reducing hallucination and improving change accuracy.
- Stronger governance and security
Supports cloud, private cloud, and on-premise deployment, including secure enterprise setups such as private endpoints, air-gapped networks, and zero data egress scenarios.
- Model and tool flexibility
Can work with different LLMs and developer tools, including Azure OpenAI, GitHub Copilot, Claude, open-source LLMs, and MCP-style integration.
- Microsoft Integration
Flezi Metis is aligned with Microsoft Azure architecture, especially for enterprise AI and secure deployment.
Key Microsoft integrations include:
- Azure OpenAI Service: used for GPT models, embeddings, and reranking.
- Azure AI Search: supports retrieval and intelligent search across software knowledge.
- AKS: runs Metis workloads in a scalable Kubernetes environment.
- Azure API Management: manages and secures APIs.
- Azure Front Door / WAF / Application Gateway: provides secure access and traffic protection.
- Azure VNet, Private Link, Private Endpoint: enables private, secure enterprise networking.
- Microsoft EntraID: supports identity and access management.
- Azure Key Vault: secures secrets and credentials.
- Azure Blob Storage, PostgreSQL, Redis, Cosmos DB, Event Hubs: support data storage, caching, events, and system operations.
- Key Use Cases
- AMS / Application Maintenance: Helps teams understand, maintain, and support large enterprise systems faster.
- Legacy modernization: Supports migration planning, dependency analysis, dead-code detection, and system decomposition.
- Knowledge transfer and onboarding: Helps new engineers understand complex codebases in hours instead of weeks.
- AI-assisted code generation: Gives AI tools accurate codebase context to generate safer, more relevant code.
- Bug fixing and root cause analysis: Helps identify root causes and recommend fixes using code graph and historical knowledge.
- Change impact analysis: Shows affected modules, services, APIs, and dependencies
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
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Sources
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