None of this is off-the-shelf. Each piece takes a job a person used to do and hands it to an agent that does it faster and cleaner, with a senior on the gate. Here's what runs under every product we build.
Our GitHub-native delivery engine, running our own work. Connect a repo, write a one-line task, and agents carry it the rest of the way: clarify scope past an 85% clarity gate, draw the flowcharts, write the test plan, and run a 12-stage review in a sandbox the moment a PR lands. Your code never leaves your environment. A human is pinged only when real judgment is on the line.
See PMTOOL→
We resolve the entire product on paper before a line of code exists. The design becomes a clickable prototype, and that prototype is what engineers build against — nothing lost in translation. Then agents do the heavy lifting: the CRUD, the migrations, the admin screens, the fixtures. Senior people spend their hours on architecture, schema, and security. That split turns the most expensive class of rework into a non-event.
See the method→
Regression testing that would cost a QA team days runs as a single automated agent pass. Browser agents drive your live app across every path: screenshot diffs catch what broke visually, action replays catch what broke in behaviour, on top of full API coverage and an OWASP top-10 pass. A human runs the final checklist on real devices. Testing runs as fast as the code does.
See the method→
Every illustration and background on this site came out of frontier image and video models, through a gate that checks each asset pixel by pixel before it goes live. A failing asset retries, then fails loudly — code enforces it, not a prompt. That's how every image and video here clears one visual bar without a human eyeballing every frame, the same speed-without-slippage approach we use on code, pointed at design.
We don't bet the product on one model. We route each task to the right one and tier them on purpose: a fast, cheap model screens the high-volume pass, and a stronger model only steps in to repair what gets flagged. That's frontier-quality output at a sliver of all-strong-model cost. Working across Claude, Gemini, LLaMA, Mistral, Qwen, ChatGPT, Seedance, and Veedfabric means no single vendor sets our ceiling or our price.
Work moves at machine speed. The volume that used to eat a quarter gets absorbed by agents, so your idea is living software while the brief is still warm.
Your money goes to senior judgment and a finished product, not a day-rate. The estimate reflects how fast the pipeline actually runs.
Speed never overrules the standard. Architecture, schema, security, and the final release pass all clear a senior before anything reaches your users. The agents are fast. The person deciding what goes live is not.
The estimate is the price, sized to how fast the pipeline runs and gated to milestones: each one is accepted on a working demo before it's billed. No discovery-phase upsell. You own the repo, cloud, data, and IP from day one.
It rests on deep research into AI-backed software development and two decades of building voice and AI in production, proven on the products we run ourselves.
We've built voice and conversational AI for two decades, across eight industries — from Dubai Municipality to Saudi Aramco to HIPAA-grade care platforms. That's the deepest part of the moat: experience you only earn by doing it in production, over and over.
See the work→PMTOOL runs our own delivery. Brilliance condenses 500K+ signals per student into a live readiness score. 1895 carries a film from script to 4K. We don't recommend a way of working we haven't run on our own products.
See our products→When the work needs a tool that doesn't exist, we build it — even for the parts that aren't code. The pixel-level QC gate every generated asset clears before it goes live is one example. That reflex to engineer our own infrastructure is what compounds into the advantage.
Send the brief, the deadline, and the constraint the last quote couldn't meet. In one call you'll get a straight read on what we'd build, across which surfaces, and how fast.
We reply within one working day.
