Most AI software breaks under edge cases and unverified model outputs. We build production AI systems and audit existing codebases with 12+ years of QA rigor — fixed price, shipping in weeks.
Have an existing AI app? Get an LLM audit →
Anyone can generate code with AI. Very few know how to verify that it will actually hold up under production load, adversarial prompts, and complex data flows.
We define edge cases, boundary conditions, and acceptance criteria before implementation starts. Your architecture is engineered for failure resilience from day one, not patched when customers encounter errors.
Language models drift, hallucinate, and break JSON formatting under unexpected inputs. We build systematic evaluation sets, automated regression checks, and human-in-the-loop review workflows where precision is mission-critical.
Mathematical and financial calculations are executed in deterministic code (Python/TypeScript), never outsourced to generative prompts. Data sources are tracked per field, and every failure state has an explicit, graceful fallback.
Every build includes rigorous QA architecture, failure-state testing, and full documentation. Fixed price, clear scope, shipped in weeks.
Starter
Single-purpose tools built with verified quality. Landing pages, forms, basic automation, and internal dashboards with full functional QA.
✓ Money-back if we miss scope
Best for internal tools →MVP
A production-grade app with 3 core features. Architecture designed and verified before launch to ensure real reliability.
✓ Money-back if we miss scope
Built for early-stage founders →AI-powered
AI Build
Production AI features that actually work. LLM integrations, RAG pipelines, and agentic workflows — with systematic evaluation and prompt quality tuning.
✓ Money-back if we miss scope
See our AI products →iOS & Android
Mobile App Build
Cross-platform iOS & Android app, built once and tested thoroughly across device viewports and network conditions.
✓ Money-back if we miss scope
Business Tool
Complex internal or customer-facing systems with integrations, permission boundaries, and rigorous regression testing.
✓ Money-back if we miss scope
See AI SaaS examples →Already launched?
Growth Retainer
Ongoing development, regression QA, prompt tuning, and SEO — continuous momentum for teams in production.
✓ Money-back if we miss scope
Diagnostic stress-testing of user flows, hallucination vulnerabilities, prompt injection defenses, and failure recovery by an enterprise QA architect.
Real verification practices and delivery outcomes from our 4 live, production SaaS products. Every practice verifiable in production.
Four live, paying SaaS products built by the same team that will build yours. Not mockups. Not case studies.
saasdb.app
Public SaaS Metrics Database
Tracks NRR, Rule of 40, EV/Revenue, and gross margins for 172+ publicly traded SaaS companies. Used by investors spotting valuation disconnects and founders benchmarking their own metrics against public peers.
Built in 14 days · 172+ companies tracked · Free to use
briefstock.ai
AI Stock Research Platform
Generates 8-section fundamental analysis reports for 4,500+ US stocks in under 60 seconds. Real P/E, DCF, and FCF calculations run in Python, narrated by AI. Replaces the Seeking Alpha + ChatGPT workflow.
Built in 11 days · 4,500+ briefs generated · Freemium
Top performing briefs this week
demo dataNVDA · Fundamental Analysis
AAPL · DCF Valuation
META · FCF & Margins
feedalyze.net
AI Churn Detection Platform
Analyzes customer feedback — emails, surveys, support tickets — to score churn risk per account (0–100) and surface sentiment trends. Built for SaaS companies and agencies who want to prevent cancellations before they happen.
Built in 9 days · 60+ accounts monitored · In beta
Live churn risk feed
demo dataEnterprise partner using Feedalyze to track and deflect churn across 10 SaaS verticals — 18% reduction in voluntary cancellations last quarter.
llmdb.app
AI Discovery Platform & Sandbox
The product-led AI intelligence archive — compare 500+ vetted AI tools, test prompts in a no-API-key sandbox across 8+ live models, follow daily AI news digests, and explore curated research. Built for practitioners who actually use AI every day.
Built in 12 days · 500+ tools indexed · Free to use
Build logs, engineering deep-dives, and honest postmortems from the products we've shipped.
Four steps from idea to shipped product.
You fill out our intake form. We align on scope, edge cases, and acceptance criteria before writing the first line of code.
AI-accelerated development with human engineering oversight. Daily updates and transparent progress from day one.
Every feature is tested against our QA matrix: boundary states, LLM output evaluation, and end-to-end user journeys.
Screen recording walkthrough, test documentation, and a dedicated support window. Clean handoff with 100% code ownership.
You fill out our intake form. We align on scope, edge cases, and acceptance criteria before writing the first line of code.
AI-accelerated development with human engineering oversight. Daily updates and transparent progress from day one.
Every feature is tested against our QA matrix: boundary states, LLM output evaluation, and end-to-end user journeys.
Screen recording walkthrough, test documentation, and a dedicated support window. Clean handoff with 100% code ownership.
Araho is a solo studio operated by Ara. With 12+ years in data quality assurance — including nearly 9 years leading QA at Global Savings Group, and later serving as an AI QA Architect at TELUS International — Ara brings enterprise test discipline to modern AI software development.
Instead of generating unverified code, he builds and tests the way a QA professional does: deterministic computation pipelines, systematic LLM evaluations, human-in-the-loop review where precision matters, and explicit data provenance. That exact practice powers four live SaaS products — saasdb.app, briefstock.ai, feedalyze.net, and llmdb.app — all live in production.
"AI products that actually work. Built, tested, and audited by a QA architect with 12+ years of QA rigor — fixed price, shipping in weeks."
"Most AI prototypes fail in production because nobody tested edge cases, hallucinations, or failure states. We engineer and verify production software from day one."
"We don't just write code and disappear. We verify critical flows, tune prompt reliability, and offer ongoing growth and QA support post-launch."
SEO · Content Marketing · Feature iteration · Monthly strategy — See Growth Retainer →
Ready to build?
Tell us what you want to build. We'll scope it, price it, and deliver it — or you don't pay.