DevOps & Site Reliability Teams
24/7 Autonomous Incident Remediation
Diagnose application runtime exceptions, identify exact culprit commits using git history, and generate verified pull requests before on-call engineers wake up.
Tharior Remedai
Autonomous multi-agent mesh. Production-grade self-healing AI.
Move beyond fragile single-prompt AI demos. Tharior Remedai coordinates specialized autonomous agent teams using standardized A2A protocols, AST Knowledge Graph memory, and 10-tier dynamic LLM routing to slash inference costs by 70% and automate incident remediation.
10
Dynamic LLM Tiers
70%
Token Cost Reduction
A2A
Autonomous Protocol
24/7
Autonomous Remediation
Commercial Advantage
Why enterprise engineering teams choose Tharior Remedai
Enterprise AI initiatives routinely stall due to unpredictable LLM inference costs, prompt degradation, and lack of autonomous verification. Tharior solves this with architectural discipline.
🧠
10-Tier Intelligent Router
Routes tasks dynamically across 10 model tiers — sending simple summarization to fast, cheap models while reserving frontier reasoning models for complex logic, cutting token spend by 70%.
🤝
Agent-to-Agent (A2A) Mesh
Specialized agents collaborate as peers. Researchers, code generators, security checkers, and test evaluators review and verify each other's output before finalizing decisions.
🌳
AST Knowledge Graph Memory
Reconstructs your entire codebase as an Abstract Syntax Tree graph. Agents understand class hierarchies, call graphs, and type definitions with zero hallucinated file structures.
🛠️
Self-Healing Pull Request Generation
Detects production exceptions, identifies culprit commits, writes the fix, generates regression tests with Snapline, and submits a ready-to-merge GitHub PR automatically.
🛡️
Strict Budget & Security Guardrails
Hard budget limits per execution run prevent runaway API costs. Safe execution sandboxes ensure autonomous agents cannot execute destructive commands.
🔒
Air-Gapped & Private Cloud Ready
Supports local open-weights models (Llama, Mistral, DeepSeek) alongside cloud APIs, allowing deployment inside highly regulated, air-gapped VPCs.
Commercial Applications
Where autonomous agent meshes transform operations
Deploy Tharior Remedai to eliminate repetitive engineering toil and safeguard mission-critical uptime.
Enterprise Software Architecture
Large-Scale Codebase Modernization
Automate dependency upgrades, API migrations, and test coverage generation across hundreds of enterprise microservices with multi-agent peer review.
Enterprise Automation Leaders
Enterprise Multi-Agent Operational Copilots
Deploy coordinated agent meshes for customer service, compliance checking, and internal workflows with strict guardrails and budget caps.
Capabilities
Engineered for autonomous enterprise reliability
Autonomous multi-agent orchestration backed by deterministic verification.
✓10-tier dynamic router selects the most cost-effective model for each subtask automatically
✓Standardized A2A protocols enable multi-agent collaboration with built-in verification gates
✓AST Knowledge Graph provides deep structural comprehension of enterprise codebases
✓Self-healing autonomous remediation detects runtime errors and drafts verified GitHub PRs
Ready to automate incident remediation and modern engineering workflows?
Schedule a live demonstration of Tharior Remedai diagnosing a production exception, generating a fix, and opening a validated GitHub pull request in under 3 minutes.
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