We scope one high-impact use case, then build and wire a working AI agent into your tools — fixed price, ~30 days. Optional support after go-live. No multi-week embed required to get started.
"Every company is sitting on a gold mine of hours that could be saved. We find them. We fix them. We free your people to do what only humans can."
Most AI pitches sell a transformation program. We sell a working first agent. Prometheus scopes one painful workflow with you, builds a fixed-price system wired to the tools you already use, and hands it off in about 30 days. Recurring support is optional after you see it run.
A free 45-minute diagnostic maps the workflow, the tools of record, and the hours on the line. We leave with a clear first use-case, success metric, and fixed-scope build plan — before you commit to the project.
We design and implement the first agent against the scoped use-case — platform-agnostic, wired to your stack. Frontier models, OpenClaw, Grok Bot / desktop agents, or light custom glue: whatever gets a reliable worker live fastest.
We deploy into your real workflow, train your team, and hand off documentation. Ongoing license & service — monitoring, tweaks, and new workflows — is available after go-live if you want it. It is never required to start.
The waste is never where leadership thinks it is. It hides in handoffs, in inboxes, in the small repetitive tasks nobody ever counted. We find it, we quantify it, and we eliminate it. The fire is already there — we just show you where to hold it.
We don't hand you a chatbot. We build a working AI agent for a scoped use-case — wired into your actual systems, taught your business rules, and able to run multi-step work without constant handholding. Start with one. Expand when the hours come back.
End-to-end process execution. Agents that trigger on events, pull from multiple systems, make decisions, and complete tasks that previously required a human every step of the way.
Email triage, meeting scheduling, follow-up drafting, and CRM updates — handled autonomously with your voice and your rules baked in.
Agents that pull from your data sources, synthesize insights, and deliver the reports your team used to spend entire days building — on a schedule, in the format you need.
Your business is unique. Some of your biggest bottlenecks don't fit a template. We engineer agents from the ground up for workflows that no off-the-shelf tool has ever touched.
AI is the most transformative force in the history of business. For most SMBs, it's still locked behind complexity, enterprise pricing, and vague "transformation" pitches. We tear that wall down with a fixed-scope first build.
Our team is made up of AI engineers and operators who understand how small and mid-size businesses actually run — and where the hours disappear. We don't theorize. We ship a working agent.
The outcome is a working agent wired to your tools — not a single-vendor lock-in. We stay platform-agnostic and reach for OpenClaw, Grok Bot / desktop agents, and other frontier models as the job requires.
We build bespoke LLMs wired directly into a client's own document stores — contracts, tickets, wikis, knowledge bases — so any question returns a grounded answer in seconds instead of a search-and-skim session. Purpose-built for the exact shape of your data, not a generic assistant.
An open-source, self-hosted automation platform we use when clients need agents running in their own environment. We deploy it inside your stack, wire it to your data, and leave it running — without proprietary lock-in.
OpenAI's coding agent — spins up isolated environments, writes and tests code, and ships pull requests from a single prompt. We reach for it when a task benefits from a second frontier model's take on the same problem.
Anthropic's frontier model — the one we trust with reasoning, writing, and judgment calls that need to be right the first time. Our default for anything that touches a client directly.
OpenAI's reasoning workhorse — custom GPTs, advanced data analysis, and the deepest plugin ecosystem in the field. We run it alongside our other models so every problem meets the one best suited to crack it.
Google's long-context, multimodal model. Million-token windows that swallow entire codebases, contract libraries, or video archives in a single pass — and answer with the whole picture in view.
xAI's frontier model and desktop agent workflow — useful when a client needs an always-on helper on their machine, real-time context, or a second stack beside OpenClaw. We pick it when it is the fastest path to a reliable worker.
Moonshot AI's long-context model — deep context windows and strong reasoning at a fraction of the cost. We bring it in for large-document work where budget and context length both matter.
Nous Research's open-weight model — steerable, uncensored, and ours to run on our own infrastructure. We reach for it when a workload needs full control over the model, private deployment, or fine-tuning to a client's exact domain.
Our go-to for turning rough drafts and scattered notes into polished, publish-ready copy. It sits in the pipeline between a first pass and a final one, so nothing ships half-finished.
A local-first knowledge base that grows with the team. Every client engagement, every process map, every insight is captured and linked — so nothing learned is ever lost. Our collective brain, fully owned and searchable.
Deployment infrastructure without the ceremony — push code, get a running service, scale when you need to. We use it to ship client-facing apps and agent backends without babysitting servers.
Free diagnostic. Pick one painful workflow, agree on the metric, and lock a fixed-scope build plan.
We implement the first agent against your real tools and rules — no multi-week company embed required.
Integrate, stage against live data shapes, and harden the edge cases your team actually hits.
Deploy, train, hand off docs. Optional ongoing license & service only if you want continued firepower — priced on the call.
Built for SMBs that need a working system, not an 8-week transformation retainer. Start with one scoped use-case. Pricing is shared on the diagnostic call — tailored to the workflow, not published as a menu.
One high-impact use-case, implemented and wired to your tools in about 30 days. Clear scope up front. Training and handoff included. Exact investment shared after we see the workflow.
Opt in after the build goes live. Ongoing monitoring, small improvements, and a steady partner for the agent you already run. Terms discussed in the meeting — never required to start.
New agents and workflows quoted flat when you are ready — so expansion stays predictable instead of turning into an open-ended project. Numbers only after we scope the next use-case.
We guarantee identifying at least 4,000 man hours per year before you pay anything. Implementation-first. Recurring is opt-in.
Most clients start with a fixed-scope agent. When a workflow truly needs custom software — not another SaaS seat — we build it. Secondary to the first-agent offer, and scoped the same way: clear outcomes, no fake platform lock-in.
Financial technology demands more than generic platforms can give. We build purpose-engineered fintech solutions — from payment processing engines and lending platforms to compliance dashboards and portfolio management tools — built to your exact regulatory and operational requirements.
Your customer relationships don't fit a Salesforce template. We build custom CRM systems wired to your actual sales process, your data sources, and your team's workflow — with none of the bloat, none of the workarounds, and all of the functionality you've been asking for.
Service businesses run on coordination, scheduling, and follow-through. We build operations software that mirrors how your service actually delivers — from job management and field dispatch to client portals and automated billing — so your team spends time serving, not administrating.
Start with the agent. Reach for custom software only when off-the-shelf truly will not fit.
Tell Us What You NeedStart with a free 45-minute diagnostic. We guarantee identifying at least 4,000 man hours per year before you pay anything — then we share a fixed-scope proposal on the call.