Govern, build, scale.
From app to hardware, deployed anywhere. The gofl platform enables IT teams to safely put agents in production.
Govern every call
Every model, tool, MCP and database call passes one gateway — under one identity, one audit trail, one policy. Same governance, builder-built or your own code.
Secrets never reach the model
The gateway injects a scoped, short-lived credential at egress. The agent and the LLM never see a standing secret.
Every call attributed
Bound to the signed-in person or a named service account — human or machine. Attributed, never NULL.
One audit trail
Model spend and every tool, MCP and database call in a turn share one trace under one identity.
Govern your own code
Declare models, tools and access as Kubernetes resources. Your engineers’ own agents get the same plane — as code.
Keep your way of working, and models
gofl is an open seam, not a walled garden. Keep the agent framework your team already uses, and run whatever model fits the job — governed the same either way.
Connect in one line
The gateway speaks the OpenAI API — point your framework at it and every call runs under the same identity, policy and audit. Pick yours:
from langchain_openai import ChatOpenAIfrom langgraph.prebuilt import create_react_agentllm = ChatOpenAI(model="qwen3-32b",base_url="https://gofl.acme.com/v1", # ← gofl gatewayapi_key=workload_token,)agent = create_react_agent(llm, tools)
Any model, any provider
Open-weight models on your own GPUs, or a frontier model reached through the provider you already run. One contract for all of them — swap the model, not your code.
Track adoption and spend
One organisation-wide view of every agent, token and dollar — see what your teams are adopting, where the spend goes, and stay inside budget.
Analytics
Organization-wide AI usage, spend, and model adoption.
Token usage · monthly
Monthly budget
Ship agents and workflows with gofl’s builder
Press deploy and every agent is automatically governed — identity, policy and audit, out of the box.
New ticket from the support inbox
Classify severity and route to the right team
Read the ticket, set priority and pick the owning team.
Route via ServiceNow as the signed-in agent
New ticket from the support inbox
Classify severity and route to the right team
Read the ticket, set priority and pick the owning team.
Route via ServiceNow as the signed-in agent
Triage and route every ticket
Classify severity, pick the team and assign the owner — acting as the signed-in agent, every step on the audit trail.
Build this for your team- Severity + team in one pass
- Routes as the signed-in identity
- SLA timer started, logged
Deploy where you are comfortable
Self-host on the infrastructure you already run, or let us run it for you — the same platform and the same governance, either way.
gofl installs as an appliance on the infrastructure you already run — any cloud, your own Kubernetes, bare metal, even air-gapped. Nothing phones home. One helm install, one knob: a domain.
$ helm install gofl gofl/gofl \
--set domain=gofl.acme.comBook a demo.
Tell us what you want to build and we’ll get back to you.
Or email me directly — [email protected]