01Days to minutes
Document & Extraction Pipelines
Multi-model pipelines that read long, dense documents, extract structure, and cite every line back to its source.
Applied AI studio, founder-led
We ship production AI systems, not demos.
Buildify builds AI into the places where wrong answers have real consequences. Systems live in regulated environments, designed to flag what they are unsure about and route the rest to a human.
Who We Are
An applied AI studio.
Buildify designs, builds, and ships production AI for organizations with complex or regulated workflows. Founder-led, end to end, from architecture to the running system.
6Client systems shipped
RegulatedEnvironments shipped to
+ ownProducts built end to end
Founder-ledBuilt and run by the operator
Stack in production
What We Build
The model is 10%. We build the other 90%.
A demo calls an API. Production is everything around it: the pipeline, the guardrails, the human handoff, and the system it lives inside.
route_to_human.pipeline Confident · auto Unsure · to a human
Incomingcases · docs
Modelconfidence
Human review
Flagged cases
Auto-resolved
Confident, cited
02Human-in-the-loop
Validation & Review Engines
Rule plus LLM hybrids that check submissions against your guidelines and route only flagged cases to a human.
03Explainable
Decision Support Systems
Scoring and recommendation engines that show their reasoning, so they support the decision instead of hiding it.
04No new tool
In-Platform Integration
AI surfaced inside the tools your team already uses, Salesforce and beyond, so there is nothing new to learn.
Client Work
Six production AI systems
Built for regulated and high-stakes work. Client names withheld. Same operator, different shapes of problem.
RFP Analyzer
A two-model pipeline reads government RFP PDFs and extracts requirements, deadlines, and rubrics. A second model reviews and flags the extraction.
< 15 minReview time
Every lineCited to source
2 modelsExtract + verify
Application Review
A rule plus LLM hybrid validates submissions against long guidelines and marks each requirement pass, fail, or needs a human.
Pass/failPer requirement
Flagged onlyRouted to people
ScaledFrom bottleneck
Service Matching Engine
Scores cases against a structured catalog of evidence-based therapeutic models, recommends the best fit, and shows its reasoning. The decision stays human-led.
Best fitRecommended
ShownReasoning exposed
Human-ledFinal decision
Own Products
Things I've built
Beyond client work. Products designed, built, and run end to end, on my own.
ColdStart
Phone-triggered remote ignition for Claude Code sessions. Tap from your phone, an agent on the home machine boots a fresh session from zero and hands back a live link. Pull-based, so the cloud never reaches into the house.
LiveVercel + Supabase
Phone → PCCold start from zero
Pull-basedNothing inbound
FocusTribe
A live team Pomodoro product. Shared focus rooms, ambient sound tools, a full marketing site, and three free tools. Designed, built, and maintained solo.
Livefocustribe.in
TeamShared focus rooms
Solo-builtSite + 3 free tools
How I Work
From problem to running system.
Scope
Start with the problem, not the tech. What is blocked, what a wrong answer costs, and where a human stays in the loop.
Architect & Build
Design the pipeline, guardrails, and interface, then build end to end. Prompts, infrastructure, and the system it lives inside.
Deploy & Hand Off
Ship into the real environment, verify behavior, and hand over a system the team can run, not a demo that needs babysitting.
Get Started
Book a scoping call.
A 15-minute call about the problem you are trying to solve. We figure out whether AI is the right tool, and what shipping it would actually take.
● 15 min · No obligation
- Is AI even the right tool here
- Where the wrong-answer risk lives
- Rough shape of the build
- Honest take, no pitch