// TechBantu AI Studio
Get your AI feature past security review — in weeks, not quarters.
A US-based, founder-led AI studio. One production-ready, security-reviewable AI feature — fixed price, fixed timeline — with the evaluations, guardrails, and approval evidence attached.
// The blocker
Your AI feature is built. Security won't let it ship.
No evaluations
“How do you know it won't hallucinate in production?” needs an answer on paper — and most teams have none.
Prompt injection & PII exposure
Security flags the LLM as an open door: no injection defense, no redaction, no output filtering.
No audit trail
Compliance needs to reconstruct every model decision. The feature can't show its work.
No approval evidence
Legal wants a document. The team wants to ship. Everyone is stuck in review.
Internal teams quote quarters to make a feature review-ready — if they can hire the senior AI engineer to do it at all. TechBantu does it in weeks, at a fixed price, and hands your reviewer the evidence they asked for. That is the whole business.
// The engagement · outcomes, not hours
Three rungs. Each ends with a feature a reviewer can approve.
Every engagement is quoted up front and ends in a named outcome — no open-ended hourly bleed. Start with the audit; step up when you're ready.
AI Readiness Audit
$4,000
fixed
The fastest way to unblock a stalled AI feature: a written map from “flagged” to “approved”.
- Evaluation-gap review
- Guardrail & PII checklist
- Compliance-evidence roadmap
Outcome: A path to sign-off your team can act on.
AI Feature Sprint
$30,000
fixed · scoped $18k–45k by feature
One named AI feature — a RAG copilot, an agent, an eval harness — built and shipped review-ready.
- Production feature + evaluation suite
- Prompt-injection & PII guardrails
- Audit logging + evidence pack
Outcome: It ships review-ready — the evidence attached.
Fractional AI Lead
$10,000
per month
Continuous senior, AI-native oversight for teams shipping AI on a regular cadence.
- Eval & drift monitoring
- Architecture & security review
- On-call for the hard AI calls
Outcome: Every release stays review-ready.
// Why this studio
Built for the door most vendors can't walk through.
US-based & federally vetted
A U.S. citizen founder holding an active DHS Public Trust (Tier 2). Regulated teams that can't send code or data offshore can work with TechBantu — and reviews move faster when the engineer has already passed a federal background investigation.
Senior & AI-native
12+ years shipping regulated systems, plus hands-on LLM evaluation, RAG, and guardrail work today. Approval-grade evidence takes senior judgment — it isn't something a demo or a junior hire produces.
Fixed price — your risk, capped
You buy the outcome, not the hours. One named feature, one price, agreed in writing. AI-accelerated delivery keeps the timeline in weeks; the scope discipline keeps the price honest.
Founder's senior engineering work on programs for
// What arrives in the repo
Not a demo. The evidence your reviewer asked for.
Evaluation harness
Reproducible tests for accuracy, hallucination, and factuality — numbers you can put in front of a reviewer.
Guardrails
Prompt-injection defense, PII redaction, output filtering, and refusal handling wired into the request path.
Audit logging
Every prompt, retrieval, and model decision reconstructable — the trail compliance asks for, on by default.
Approval evidence pack
The written evidence pack your reviewer needs to make the call — the document that moves the conversation from “not yet” to a decision.
// Questions, answered straight
AI Studio FAQ
What is the AI Readiness Audit, and what do I get for $4,000?
A fixed-price, one-week review of your AI feature focused on what will block launch: an evaluation-gap review, a guardrail and PII checklist, and a written roadmap of the compliance evidence a security reviewer will ask for. You get a written report and a readout call, and everything in it is yours to act on with or without TechBantu.
What does “security-reviewable” actually mean?
It means the feature arrives with the evidence a reviewer needs to say yes: a reproducible evaluation harness with accuracy and hallucination checks, guardrails such as prompt-injection defense and PII redaction wired into the request path, audit logging so model decisions can be reconstructed, and a written evidence pack that maps it all to your review process.
Why does US-based and DHS Public Trust vetting matter for AI work?
Regulated teams are often blocked from sending code and data to offshore vendors, and reviews move faster when the engineer has already passed a federal background investigation. TechBantu's founder is a U.S. citizen holding an active DHS Public Trust (Tier 2) and has shipped senior engineering work on programs for Robinhood, CLEAR (DHS TSA PreCheck), American Express, and Coca-Cola.
How can one studio ship a production AI feature in 3 to 4 weeks?
Scope discipline and AI-native delivery. Each sprint builds exactly one named feature, defined in writing before work starts. The founder builds with AI-assisted engineering workflows every day, which compresses the build without cutting the parts that matter: evaluations, guardrails, and documentation are part of the deliverable, not extras.
What happens if the scope changes mid-sprint?
The sprint covers one named feature at a fixed price, agreed in writing before work begins. Anything outside that named feature becomes a written change order with its own price and timeline. That discipline is what makes fixed pricing honest: you always know what you are paying for and what it costs to add more.
Who actually does the work?
The founder, RJ Bantu, a senior engineer, not an account manager. TechBantu is a solo, founder-led studio by design: the person who scopes your feature is the person who builds it and stands behind it in production. No handoffs, no outsourcing.
// Start here
Tell us the feature that's stuck.
A free 30-minute scoping call with the founder: fixed price, fixed timeline, and a clear path past review — before you commit a dollar.
// Or just send a message