Autonomous AI agents powered by OpenAI, LLaMA, Mistral and custom LLM servers — integrated directly into your infrastructure to investigate, decide, and act without human intervention.
Build Your AI CopilotSyntektra Solutions builds Agentic AI systems that go far beyond chatbots. Our AI agents are autonomous, tool-using, goal-driven systems that can investigate your infrastructure, diagnose problems, execute fixes, and report back — all without a human in the loop.
We have built production Agentic AI systems using OpenAI GPT-4, LLaMA 3, Mistral, Mixtral, and other open-source LLMs — deployed on self-hosted servers or cloud infrastructure. Whether you need a cloud-based AI copilot or a fully private on-premise LLM deployment, we deliver it end to end.
Our flagship implementation is an AI Copilot for autonomous incident resolution — built on Python FastAPI, it connects to your Kubernetes clusters and servers, investigates issues, identifies root causes, and applies fixes before your support team even gets a notification.
An AI-powered first-responder for your infrastructure. When an issue is reported, the agent autonomously checks pod status, fetches logs, inspects metrics, identifies the root cause, and applies the fix — all in under 2 minutes.
We set up and host self-managed LLM servers running LLaMA 3, Mistral, Mixtral, Phi-3, and Gemma using Ollama, vLLM, or llama.cpp. Full GPU-accelerated inference on your own hardware or cloud VMs — no data leaves your environment.
We implement structured tool-use with OpenAI GPT-4 and compatible models. The AI decides which tools to invoke — kubectl commands, shell scripts, API calls, database queries — and chains them together to complete complex tasks autonomously.
Our agent backends are built on Python FastAPI for async, high-performance request handling. The API orchestrates the agent loop, manages tool execution, maintains conversation memory, and returns structured resolution summaries.
We use LangChain and LlamaIndex to build RAG (Retrieval-Augmented Generation) pipelines, agent chains, memory systems, and document Q&A tools — connecting your LLM to your internal knowledge base.
Deploy LLMs on AWS EC2 GPU instances (g4dn, p3), Azure NC-series VMs, or your own bare-metal servers. We handle model quantization (GGUF, AWQ, GPTQ), inference optimization, and API serving with OpenAI-compatible endpoints.
Every agent action is logged with full context. We implement action whitelists, dry-run modes, human approval gates for destructive operations, and rate limiting to prevent runaway agent loops.
Agent tools connect to Kubernetes (kubectl), SSH servers (Paramiko), Prometheus metrics, PostgreSQL, REST APIs, Slack, and more — giving the AI full visibility and control over your stack.
We design bespoke agent workflows for your use case — customer support automation, code review agents, data pipeline monitoring, security scanning agents, and business process automation.
70% reduction in Level 1 support tickets reaching human engineers
Mean time to resolution (MTTR) dropped from 45 minutes to under 2 minutes
Fully private LLM deployments — your data never leaves your infrastructure
OpenAI-compatible API from self-hosted LLaMA, Mistral, and Mixtral servers
GPU-accelerated inference with model quantization for cost-efficient deployment
RAG pipelines connecting LLMs to your internal documentation and knowledge base
24/7 autonomous coverage with no on-call fatigue
Human approval gates for sensitive operations — AI assists, humans stay in control
Works with any LLM — cloud or self-hosted, open-source or proprietary
End-to-end delivery from LLM server setup to agent deployment and monitoring
Let's discuss how Syntektra Solutions can deliver Agentic AI Integration for your business.
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