Static Workflows Can't Handle AI
Traditional automation was built for predictable rules, not the messy, dynamic reality of reasoning AI agents.
Stop wrestling with brittle glue code. Karyam provides the infrastructure to build, deploy, and scale AI workflows without a massive engineering team.
Available as Cloud or On-Premises deployment
Problem
Brilliant models. Beautiful demos. Brutal deployments.
We’ve solved the intelligence problem, only to create an operational nightmare. Teams are wiring together rocket engines with duct tape—wrestling with brittle scripts, shadow agents, and workflows that break the second they hit reality.
Traditional automation was built for predictable rules, not the messy, dynamic reality of reasoning AI agents.
Getting an agent to dazzle in a sandbox is easy. Keeping it reliable and resilient in production is a full-time job.
Your team wastes cycles wiring together models and memory instead of building features that actually drive revenue.
Rogue agents are spinning up across departments without a centralized control plane for security, guardrails, or access.
Pushing AI updates feels like defusing a bomb. The constant fear of breaking downstream systems cripples iteration speed.
When an agent goes off the rails, pinpointing the exact failure across a tangled web of prompts, APIs, and models is nearly impossible.
AI costs are practically invisible until the massive bill arrives at the end of the month, turning scaling into a huge financial risk.
Instead of shipping new features, your best developers are stuck manual-testing prompts and babysitting flaky deployments.
Teams are building the exact same agents in isolation because there's no central registry to discover, share, and reuse capabilities.
Outcome
Solution
Karyam replaces complex, custom-built AI stacks with a unified hub that works out of the box.
Take your AI out of the sandbox and run it reliably in production—no duct tape required.
Foundation
Karyam provides the surfaces you need to build, run, and govern AI-powered automations in one operating layer.

Decouple prompts from providers. Switch LLMs on the fly and manage access centrally without hard-wiring code.

Shape AI behavior with precision. Craft specialized instructions in a structured editor built for mission-critical operations.

Give your agents hands. Equip workflows with real execution power, from secure SSH access to custom local scripts.

Put AI on autopilot. Schedule recurring agent executions with precision timing and native timezone support.

Trace every thought, tool call, and token. Debug with absolute confidence using immutable, tamper-proof audit logs.

Stop flying blind. Track token usage, monitor expensive workflows, and tame infrastructure costs from a unified command center.

Turn prompts into products. Instantly expose any workflow as a secure, callable REST API with built-in auth.

Curate your AI arsenal. Publish certified agents to an internal catalog for your entire team to discover and deploy.
Use Cases
Monitor infrastructure, detect issues, and trigger intelligent remediation.
Run AI-assisted SSH audits and vulnerability checks.
Automate web search, summarization, and intelligence gathering.
Build company-specific copilots connected to your systems.
Run deployments, validations, and operational workflows.
Platform Architecture
Karyam's orchestration core connects your systems, teams, and AI agents into a single, governable workflow platform.
Platform Evolution
Karyam is designed to grow with your ambition. Adopt it to solve a single bottleneck today, and let it scale into your unified AI infrastructure tomorrow.
Day 1: Ship with confidence. Use Karyam as a lightweight builder to design, test, and deploy your first production agent in minutes.
Year 1: Scale without chaos. As your AI footprint grows, Karyam naturally evolves into your unified hub for security, cost control, and observability.
Stop rewriting agent logic every time business needs change. Build flexible, observable, production-ready AI automation with Karyam.