Waitlist openLimited capacity

AI gateway for Texas infrastructure

Texas-first AI inference.

tx-compute-pool

Private beta
An application request routed to Texas-based inference nodesA user application sends an OpenAI-compatible request through the FunkyRouter gateway to potential provider nodes in Fort Worth, Dallas, Houston, Abilene, Austin, and San Antonio.Your appOpenAI-compatible requestapi.funkyrouter.ai/v1FunkyRouterAI gatewayFort WorthDallasAbileneAustinSan AntonioHoustonTEXASshared provider fleetAn application request routed to Texas-based inference nodesA user application sends an OpenAI-compatible request through the FunkyRouter gateway to potential provider nodes in Fort Worth, Dallas, Houston, Abilene, Austin, and San Antonio.Your appOpenAI-compatibleapi.funkyrouter.ai/v1FunkyRouterAI gatewayFort WorthDallasAbileneAustinSan AntonioHoustonTEXASshared provider fleet
OpenAI-compatibleTexas-sharedZero-data retention

Launch path in verification

01 · What you get

One Texas AI infrastructure.

One purpose-built gateway connects the OpenAI SDK you already use to Texas-operated inference. Keep the same streaming chat completions workflow while FunkyRouter routes requests to available open-weight models.

~/your-ai-agent/executor.py
from openai import OpenAI

client = OpenAI(
    base_url="https://api.funkyrouter.ai/v1",
    api_key="your-api-key",
)

stream = client.chat.completions.create(
    model="your-model-id",
    messages=[{"role": "user", "content": "Don't Mess with Texas!"}],
    stream=True,
)

for chunk in stream:
    content = chunk.choices[0].delta.content
    if content:
        print(content, end="")

Streaming SSE in the OpenAI format

Model your-model-id

Status Private pilot waitlist open

02 · Data handling

Zero content retention is the launch target.

ZDR does not mean no records exist. The launch policy separates transient inference content from the metadata needed to meter, secure, and support the service.

01

Inference content

The launch policy is zero persistent retention for prompts and completions. Content is processed transiently to answer the request.

02

Usage metadata

Request IDs, model revision, token counts, timing, status, and billing records remain so the service can operate and reconcile usage.

03

Training

FunkyRouter does not plan to use customer prompts or completions to train, fine-tune, evaluate, or improve models.

Verification gate: These are launch controls under implementation. Public ZDR claims become final only after storage, log, trace, crash, and backup canary scans pass.

03 · Texas Pilot

Private AI for North Texas organizations.

The $499 per month Texas Pilot is exclusively for North Texas organizations that want reliable, affordable, private AI tokens and inference.

Pilot offer

$499 / month

FunkyRouter Texas Pilot

  • Open-weight AI models through an OpenAI-compatible API
  • Defined monthly token and concurrency limits
  • Shared capacity with early overload responses
  • Business-hours support planned from Texas
  • No high-availability SLA until a second node is proven
Join Waitlist

Final allowance, pricing, and availability follow measured capacity on the deployed artifact.