Build and Deploy AI Faster — With Guardrails That Work
Whether you're fine-tuning LLMs, deploying predictive models, or integrating GenAI into your product, Rakshan helps you validate, monitor, and scale responsibly — without slowing you down.
ML Engineering Challenges
ML/AI Engineers face unique challenges when deploying AI systems.
Compliance Uncertainty
Unclear if your models comply with security or fairness standards.
Stakeholder Friction
Repeated back-and-forth with legal, compliance, or security teams.
Post-Deployment Blindness
No way to continuously monitor model behavior post-deployment.
AI Development Acceleration
Our platform helps ML/AI Engineers build and deploy faster with confidence.
Auto-Inventory Your AI Stack
- Detect and visualize all models across notebooks, pipelines, APIs, and agents
- Understand training lineage, environment history, and associated data sources
Red Team & Validate AI
- Simulate adversarial attacks: prompt injections, jailbreaks, data leakage
- Test models against hallucination, output misalignment, and unsafe completions
Continuous Runtime Monitoring
- Watch your models and LLM agents in real-time — drift, anomalies, misuse
- Alert on behavior changes, unexpected output, or policy violations
Compliance, Automated
- Generate attestations and evidence for FDA, EO 14110, HIPAA, or ISO 42001
- Map model capabilities to frameworks — no spreadsheet gymnastics
Results You Can Expect
Deployment Confidence
Confidence to deploy faster without manual checklists.
DevOps-Style Observability
DevOps-style observability for AI behavior and risk.
Shared Source of Truth
A shared source of truth for ML, compliance, and security teams.
Faster Iteration
Less rework. More trust. Faster iteration.
You Own the Models. Let Rakshan Handle the Risk.
Ship safe, transparent, and secure AI — at speed.