Map the problem
Understand workflows, participants, data boundaries and existing systems.
SOVEREIGN AI INFRASTRUCTURE
BUILDING
INTELLIGENCE.
LOCAL AI · DATA PRIVACY · ENTERPRISE AGENTS
We work alongside enterprise teams to connect models, data boundaries and real workflows into deployable, governable AI systems.
INTELLIGENCE, UNDER YOUR CONTROL
AI needs more than power.
It must be usable, private and trusted.
Synbit connects model capability, data boundaries and real workflows into systems built to keep running.
PRIVATE AI / LOCAL MODELS / FDETHREE SYSTEM LAYERS
From model to operations,
one complete intelligence loop.
MODEL LAYER
Local AI Infrastructure
Run models in environments you control, designed around business data, inference cost, access boundaries and operational latency.
PRIVACY LAYER
MaskGate · Privacy Gateway
Detect and protect sensitive information before it reaches a model, creating an auditable boundary for prompts, knowledge and model calls.
APPLICATION LAYER
Enterprise Agents
Connect models to workflows, knowledge and collaboration through observable, governable enterprise agents that evolve with the business.
FORWARD DEPLOYED ENGINEERING
Engineering, at the
point of need.
FDE combines domain understanding, product judgment and engineering delivery in one loop. We start with real workflows, build with users and deploy into the operating environment.
Business and data boundariesWorking prototypeDeployment and governanceContinuous evolution
Build a working prototype
Test the critical assumptions with a usable system and direct feedback.
Enter the environment
Connect access, knowledge, models and operations with monitoring and auditability.
Deploy and evolve
Improve models, workflows and experience based on operating results.
FDE / THE BASICS
What is FDE?
FDE stands for Forward Deployed Engineer. It is an engineering model close to the operating environment: engineers understand the problem, help make product decisions, build the system and remain accountable for how it performs in real use.
Engineers work with users
FDEs map the workflow with business owners and frontline users, turning ambiguous needs into system behavior that can be tested.
Outcomes guide the work
The solution changes with operating feedback. Product judgment and engineering implementation remain in one delivery loop.
Built for complex environments
FDE is useful when data boundaries are strict, workflows span systems, requirements are evolving or AI must enter daily operations.
A system built to keep running
Delivery includes working software, integrations, access and audit controls, observability and an engineering foundation for iteration.
HOW WE BUILD
Designed around boundaries, operations and longevity.
Synbit focuses on controlled deployment and real enterprise use. Every engagement starts with clear data boundaries, validates direction with a working system and leaves a path for maintenance and evolution.
Data boundaries
Choose local, private-cloud or hybrid deployment around the movement of models, knowledge and sensitive data.
YOUR DATA. YOUR BOUNDARY.Operational delivery
Design around real roles and workflows so AI enters existing systems instead of remaining a demonstration.
FROM MODEL TO OPERATIONS.Maintainable systems
Include access, audit, monitoring and feedback from the start, leaving room for model and business change.
BUILT TO LEARN AND ADAPT.WORK WITH SYNBIT
Start with a real problem.
Build a system that runs.
If you are planning local AI, AI data privacy or enterprise agents, contact us on WeChat. We will begin with the operating context, data boundaries and intended outcome.
Talk to Synbit ↗