We help small businesses put practical AI to work — from forecasting and pricing to the everyday admin that eats your week — and we build the custom agents that run it. Hourly or per project. Whatever fits.
Two-sided marketplace · iOS app
Self-running options research desk
Crude & RIN optionality engine
Biomedical R&D · judge layer
Government-records lead engine
Automated lead SaaS + outreach
Non-dilutive funding research
Research-verified, diligence-grade
Your team stays in charge. AI does the heavy lifting underneath them — the math, the monitoring, the repetition.
We prototype one thing that pays for itself, then expand only where it earns its place. No giant rip-and-replace.
Tools shaped around how you already work, in plain language you control — not a generic chatbot bolted on the side.
If you don't know where to begin, start here. We set up the tools — Claude Code, Codex, all of it — and help you choose the right model, whether that's a frontier name like Claude or GPT or an open-source one that runs private and low-cost. You skip the fiddly installs and the copy-paste, and we sit with you through the first real run.
Start with a call →The numbers and operations work that quietly decides whether a month is good or bad.
Find the real patterns in your own data — when sales rise, when they dip, and what actually drives it.
Time purchases and inventory around real signals instead of gut feel, so cash isn't stuck on a shelf.
Predictive models for sales, demand, cost, and churn — built with proven tools like Prophet, TensorFlow, and H2O, so next quarter isn't a guess.
Turn scattered spreadsheets into one clear view your team will actually open.
The growth side — who to sell to, where the leads are, and the data to back it. Often the work that pays for everything else.
Deep AI research — reading demand from social posts, Google Trends, and your own data — that tells you who'll actually buy, not who you assume will.
Built-to-order lists of real prospects in your sector — names, not guesses — ready for your outreach.
Public bids, permits, and filings — plus grant and non-dilutive funding programs — surfaced the moment they open, matched to what you do.
Need data you don't have? We scrape it — public sites, social feeds, marketplaces — clean it, and deliver reports on demand or on a schedule you set.
The serious end of what we build — the same machinery used on trading desks, sized to your problem.
Pricing, risk, and relative-value models — built properly, and explained in language you can act on.
Teams of AI agents — or a council of the top frontier models — that gather evidence, debate the call, and check each other before you commit.
Real-time signals and monitors wired straight into the workflow where the decision gets made.
We design the routes agents take — who does what, in what order, with what checks — so the system is reliable, not a black box.
For active traders and desks — the analysis, indicators, and live tooling we build around your strategy. You keep every call.
Read unusual options activity and dark-pool prints, and track where the real money is positioning — flagged the moment it shows up.
Indicators and scanners built for your platform — ThinkorSwim, TradingView, and others — tuned to how you actually trade.
Real-time screens for positioning and risk — Greeks, gamma, charm, vanna, regime — updating as the tape moves.
Hand us the spreadsheet. We turn raw market and trading data into clean, ranked, decision-ready output.
The repetitive operational work that quietly eats your week — handed to software that never forgets a step.
The daily and weekly spreadsheet grind — pulled, calculated, written up, and sent on schedule, without anyone touching it.
Match invoices, payments, inventory, or statements automatically — recon tooling shaped to your industry.
AI takes the booking and drops it straight into your Google Sheet or calendar — built for clinics, salons, and shops.
API integrations that wire your apps, your data, and your AI together so they actually talk to each other.
The things we make and ship for you — apps, sites, agents — plus the small repetitive stuff. Often the fastest win.
An agent built for your actual process — intake, quoting, follow-up — not a generic assistant.
A clean, fast site built to do one job well — book a job, take an order, get the call. Like the one you're reading.
From an internal tool to a customer-facing app, designed and shipped. We built and launched our own iOS app, NextUp.
We research and fact-check the claims, fix what won't survive diligence, and build the deck from scratch — the kind that holds up in an investor's first thirty minutes.
We design the prompts and guardrails that make your AI reliable — accurate, consistent, and free of invented facts — down to deep-research prompts that pull full power from tools like Gemini.
Hands-on training so your people can drive AI themselves — frontier models and open-source alike, matched to your budget and privacy.
Even turning a kid's homework into guided practice on the computer, matched to grade level — so learning stays fun.
A careful final check on the numbers before you file — calm, methodical, double-checked.
If it's repetitive, number-heavy, or just steals your attention, it's worth a conversation.
Point AI at your documents, your screens, and your private data — and keep it all in-house.
An assistant that actually knows your policies, products, and files — answers with citations, on your site or internally, and can even pick up the phone.
A bot that clicks through the web tools you already use — portals, data entry, downloads, reports — like a tireless assistant that never misses a step.
Turn invoices, forms, contracts, and scans into clean structured data — OCR included — so nobody retypes anything by hand.
When data can't leave the building, we run capable open-source models on your own hardware — full power, nothing sent to anyone.
Our roots are in real energy trading — crude oil, refined products, and RINs desks at a major trading house — so when we put a team of AI agents to work on cargo trading, we knew what a desk actually needs. The agents gather market evidence, model the optionality in each shipment, debate the call against one another, and audit their own reasoning overnight. The point isn't the oil — it's the architecture: agents that research, decide, and check each other, dropping straight into pricing, forecasting, or operations, anywhere your business makes the same call again and again.
Illustrative of capability and method. Engagements are scoped to your data and goals — no past result is a promise of a future one.
Real systems — some are our own products, some we built for the work. We've grouped them: start with what helps a small business directly, then the AI engineering, then the deep markets work. Read past the names — the value is the method, and the same machinery resizes to your problem.
A salon owner with a new device was sure she had to pitch doctors. Our research read the real demand — and pointed her to gyms and studios instead, a bigger, closer market she'd written off.
Lead machines that run themselves. Demo Permit Watch scans 17+ government sources into one clean feed for demolition contractors; the Storm Intelligence Brief ranks hail and wind damage nationwide for roofers and the insurance-restoration trade and emails it at 6am — with a cold-outreach engine (hardened sending, suppression lists, send logs) built alongside so the whole business runs end to end.
GrantSignal finds verifiably-active US non-dilutive funding for a specific venture. It infers the topic, stage and applicant model, then searches the right federal programs (SBIR/STTR, NOFOs), state and regional bodies, and private foundations — and ruthlessly cuts the big-looking programs that are structurally dead or a stage/applicant mismatch. Every opportunity is confirmed against an official source within 30 days, ranked in tiers by fit and timing, and delivered with an entity strategy and a 12-month application calendar. It spans biomedical, devices, digital health, ag, materials, energy/climate, defense dual-use and IT/AI — without forcing one field's logic onto another.
Sometimes the product is a written brief. We produce energy-market reports and bespoke market research — reading demand and positioning from data, filings and the news — and write it up as a clean, decision-ready document. The same engine that reads a market's real demand, or surfaces leads for a whole industry, writes the brief you put in front of a client or a board.
A real result on a completed tax return: we ran it back through AI as a careful second pass, and it surfaced roughly $20,000 that had slipped through. It's the clearest version of what AI does best for a small business — a tireless, methodical second set of eyes on the numbers that matter, catching what a rushed pass misses.
We ship the finished thing. We designed, built and launched our own two-sided marketplace iOS app, NextUp; we build investor and pitch decks that are research-verified to survive diligence; and we ship websites, internal tools and customer-facing apps. A landing page, an internal tool, a customer app — whatever the job needs, designed and handed over working.
An automation that monitors the chatter so you don't have to. It tracks Discord and X (Twitter) accounts all day, summarizes everything that mattered, and emails a clean daily digest — including trading setups and charts rendered right into the email. The same engine works for any feed you need watched: competitors, communities, news, or your own alerts.
A council where Claude, GPT and Gemini debate to consensus; a 12-agent biomedical research panel with a judge layer that reconciles competing findings before anything ships; and the connectors that let agents act in the real world — a custom MCP server exposing seven tools so an AI can pull live data and run your scripts. We design the pathways too, so the system is reliable, not a black box.
Behind almost everything here is data infrastructure that runs on schedule. We build daily collectors — the VIX surface across 500 names, skew trackers, scrapers and API feeds — that gather, clean and store data every weekday, building multi-year panels nobody had before. If you can't get the data, you can't model it; we make sure it's always flowing.
ORCA runs a two-stage pipeline on its own every trading morning. A quant scanner sweeps 670+ optionable stocks for gaps between the volatility the market is pricing and what each stock is actually doing — using several realized-vol estimators, an IV-rank from its own growing history, 25-delta skew and a vol cone — then a Claude analyst reads 25+ news, RSS and weather feeds, names the catalyst, and writes ranked trade ideas with exact strikes. Every idea is logged, snapshotted daily, and re-graded a week later by a second AI; a separate weekly engine runs a full S&P-500 scan and backtest on top.
Hermes is a desk-grade engine for real commodity decisions — crude oil carry, crush and freight economics, and renewable-fuel (RIN) obligation trades under EPA rules. The numbers are computed deterministically, never guessed; AI agents scout live public data, value each position, and a skeptic layer audits the result. Its signature is refusal — in live mode it won't recommend anything until verified inputs exist — and it turns its findings into a clean written market brief.
When a decision needs real math, we build the model. A crude spread model for relative value between grades and tenors; a jump-diffusion model for hedging — pricing the risk of sudden gaps, not just smooth drift; pricing, risk and relative-value models across other assets. Each one is built properly and then explained in plain language you can actually act on.
A whole suite of vol work. We decompose earnings implied-vol from the term structure and rank 150+ names before each print; rebuild Cboe-style VIX curves for all 500 S&P names daily and validate them against the official index; grade names by structural variance-risk premium; map skew surfaces across strikes and expiries; and read unusual options flow and dark-pool prints to see where the real money is positioning.
The real-time layer. A 0DTE cockpit that reads live broker data, maps the day's gamma walls, and runs a paper-trader with hard risk rules and a nightly self-written journal; live dashboards driven straight off Excel that update as the market ticks; and custom ThinkorSwim indicators and scanners tuned to exactly how you trade.
Have an edge in your head? We make it run. We coded a trader's Weis Wave net-cumulative-volume method — translating a discretionary, chart-read technique into a deterministic, back-testable signal with a scale-free reversal threshold — then ran it across tickers to see where it holds and where it breaks. Bring us the method; we'll operationalize it and stress-test it honestly.
Edge Scanner hunts mispricings across closed-end funds, REITs and overlapping fund holdings — fronted by a verifier that reads the underlying SEC filings and refuses to greenlight a position it can't back up. A separate weekly scan flags bank and equity discrepancies — where rating, profitability and stock price don't line up — down to bank-level detail.
We trade and model prediction markets. A systematic Kalshi strategy on Bitcoin with a full metrics layer — tracked and analyzed across 770+ trades and counting — plus a pipeline that pulls Polymarket implied probabilities into our SPY and crude-spread models, so a real crowd-sourced odds signal sits right next to the technicals. Event-contract odds become just another input the model can weigh.
Many of these are our own products and systems, shown to illustrate capability and method. Engagements are scoped to your data and goals — and nothing here is financial, tax, or investment advice, or a promise of any future result.
A short call. You tell us what eats your time or clouds your numbers. We tell you, honestly, whether AI can help — and where it can't.
We build one small piece that pays for itself fast. You see it working on your own data before anyone commits to more.
Where it earns its place, we widen it — more agents, more automation, more reach — always with your team holding the wheel.
For audits, quick wins, and figuring out where AI actually belongs. You bring the problem; we bring the tools and the judgment.
Fixed scope, fixed outcome. For something you want designed, built, and running — and handed over working.
Tell us what steals your time or clouds your numbers. We'll tell you, straight, whether AI can help — and how. 20 minutes, no pitch.
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