AI automation built to be operated.
From strategy through production deployment, we build AI automations, custom agents, APIs, integrations, prompt systems, and reusable workflow templates. After launch, we either manage the AI layer for you or train your internal team to operate it.
Speak with a Systems ArchitectHow we build and support AI systems.
Build first. Operate deliberately.
Map the operational bottleneck before selecting models or tools.
Design the data boundary, control plane, support model, and failure handling up front.
Build thin, observable slices that can be deployed into real workflows.
Instrument usage, quality, cost, ownership, and escalation paths before expansion.
Tools we integrate with.
We are platform-agnostic. Our engineering team builds on the tools you already use — no rip-and-replace, no forced migrations. If it has an API, we can connect it.
And 20+ additional enterprise platforms.
Built for production.
MCP Integration
Standardized tool access across internal systems, external APIs, and agent runtimes.
Vector DB Architecture
RAG pipelines with governed ingestion, retrieval evaluation, and source-aware answer paths.
Autonomous Agents
Tool-using systems that plan, execute, verify, and escalate inside defined operational boundaries.
n8n / Make Orchestration
Workflow automation with explicit state handling, audit trails, and human approval gates.
Secure Model Deployment
Private cloud, managed model endpoints, role-based access, and data retention controls.
Multi-Agent Reasoning
Role-separated agents for research, execution, validation, and operational reporting.
Secure systems with a clear operating model.
Every system we build is designed for one of two paths: managed by Neural Mode Studio as your AI operations partner, or handed over to your internal IT and operations team with training, documentation, and reusable templates.
Bring a specific bottleneck.
We'll map the system and show you what to automate, how to build it, and who should operate it after launch.
