Beyond Deploying ModelsAgents That Actually Work
From private inference infrastructure and agentic orchestration to MCP tool integration and multimodal document processing — we ship agents plugged into your systems, running in production, and measured continuously.
Technology Partners
Developed based on open source frameworks such as LangChain and FastAPI
LangChain
Leading large language model application development framework
FastAPI
High-performance API development framework
Dify
Low-code/no-code AI application development platform
Next.js
SEO-friendly full-stack application development framework
PyTorch
Deep learning framework for model training and inference
Want to become a partner?
Contact usSix Things Every Agent System Needs
An agent is not a model call. These six are the parts we build into every project — miss one and the system rarely survives production.
Task Orchestration
Plan-and-Execute and ReAct patterns in production: sub-agent delegation, parallel calls, timeouts, retries and circuit breakers so long-running tasks don't drift off the rails.
- LangGraph
- Sub-agent delegation
- Retries & circuit breakers
MCP Tool Integration
Connect internal systems and third-party APIs through MCP servers and function calling — reusable tools with permission boundaries and unified governance.
- MCP servers
- Function calling
- Permission boundaries
Multimodal Document Processing
Layout parsing, table reconstruction and field extraction for contracts, invoices, records and research reports — including scans and awkward layouts.
- Layout parsing
- Table reconstruction
- OCR post-processing
Retrieval & Knowledge Bases
Hybrid retrieval with reranking, and answers that must cite their source so every claim traces back to something verifiable.
- Hybrid retrieval
- Reranking
- Source attribution
Private Inference & Cost
vLLM and Ollama deployment plus quantization, continuous batching and prefix caching to bring per-token cost down.
- vLLM / Ollama
- AWQ / GPTQ / FP8
- Continuous batching
Evaluation & Observability
Offline eval sets plus production telemetry, so every prompt or model change shows a measurable gain or regression — with traces you can replay.
- Offline eval sets
- End-to-end tracing
- Regression comparison
Where Agents Fit
The agent scenarios we get asked about most — how each one is built, and the metrics we recommend tracking after launch.
A Three-Layer Delivery Path
From inference infrastructure to agent systems — we deliver all three layers end to end, or plug into whichever layer you need
Private Inference Deployment
Build an inference layer on your own servers or private cloud — data never leaves your network, and cost stays predictable.
- Every Major Open-Weight Model
- Throughput and Cost Tuning
- Data Stays Inside Your Boundary
AI Applications & Multimodal Processing
Turn model capability into products people actually use: document parsing, voice interaction, content generation, and data insight.
- Multimodal Input Processing
- Wired Into Existing Systems
- Visual Orchestration
Agent System Delivery
Agents that actually run your business process: orchestration, tool use, human oversight, and measurable results.
- Controllable Orchestration
- MCP and Tool Ecosystem
- State and Long-Term Memory
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c@m9ai.work
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