We don't sell a fixed product. We diagnose the bottleneck, ship a tailored MVP in weeks, then scale it into production-grade software.
Every engagement follows the same arc — we listen, we prototype, we productionize.
Find the leak before building the dam.
We embed with your marketing team, audit the funnel, and surface the highest-leverage gap that AI can actually solve.
An MVP in weeks, not quarters.
A working software prototype shipped to a real user cohort. Tight scope, sharp interface, opinionated defaults.
Reliable systems, not lucky demos.
We harden the MVP into production: observability, evals, guardrails, infra and a hand-off your team can own.
A four-step rhythm we've refined across every engagement. Designed to compress time-to-value without cutting corners.
Two intensive weeks with your team. We instrument the funnel, talk to operators and customers, and walk away with a single sentence: this is what we will build, and this is what it will move.
A few of the systems we've shipped. Names are abstracted while NDAs hold.
SDR team writing 200 sequences/week with declining reply rates.
Account-grounded LLM pipeline with retrieval over CRM and product usage.
Performance team blocked on creative iteration speed.
Internal tool that scores ad creatives against brand guidelines and past winners.
Long-tail seller listings underperforming on search relevance.
Agent that rewrites titles and attributes within seller-approved variants.
Lifecycle team running a flat, segment-based playbook on millions of users.
Decision layer that picks message, channel and timing per user, with full audit log.
We add a study after each engagement clears its NDA window.
Pragmatic choices. We pick the boring stack when we can, and the bleeding edge when it earns its place.
Routing, fallbacks, cost-aware execution.
Hybrid retrieval over your structured + unstructured data.
Offline + online evals, regression suites, human-in-the-loop.
Bounded agents with audited tool use and human approval gates.
When prompting plateaus. SFT, DPO, distillation.
Queues, schedulers, observability, cost dashboards.
Creative analysis, document understanding, OCR.
Reinforcement loops over marketing surfaces with guardrails.
Elonzy walked into a problem we'd been circling for two quarters and shipped a working answer in a month. The model wasn't the magic — the system around it was.
An in-house engineering core, an applied research group and a network of senior commercial advisors. We staff every project with the right mix instead of hiring you a generalist.
In-house product, frontend, backend and platform engineers. Senior median, no contractors fronted as staff.
LLM, retrieval, agents, evals and fine-tuning specialists. The people who choose the model and write the prompt graph.
Cloud, queues, observability, cost dashboards and security review. The reason your MVP doesn't fall over on launch day.
Product designers who ship code. Interfaces, design systems and the small details users actually feel.
Offline + online eval engineers, red-teamers and policy reviewers who keep production behaviour honest.
Senior sales directors, growth leads and lifecycle operators we consult with. Real revenue scars, not theory.
Headcount fluctuates per engagement. We staff each project from the bench above instead of selling you a single fixed team.
Both. Discovery and MVPs are usually fixed-fee with a sharp scope. Productionization runs on a monthly retainer so we can react to what production actually does.
Tell us about the gap. We'll come back within two business days with whether we can help and what the next step looks like.