Spectika — Operating intelligence
We turn the data your business already makes — and the data the world makes about it — into answers you can act on this week.
You're sitting on more information than your team can ever read: every purchase order, every supplier, every price, every competitor move. Reading it the old way takes a research team you don't have. Spectika does that work for you — and shows you, in plain language, exactly where the money, the risk, and the opportunity are hiding.
Built for
Owners and operators
Works on
Your data + the world's
Starts with
Spend · suppliers · brand · markets
Available
Live tools, not slideware
Live today
Each of these runs against your own data — your purchases, your category, your costs — and hands back something you can use this week.
Procurement
Point it at your purchasing data and it reads every line — millions of them. It finds the suppliers that quietly drive most of your spend, the parts you're overpaying for, and the single-source risks one bad week would expose.
Growth
It watches the actual video and social content in your category — not a tag list — and connects the creative choices brands make to the outcomes they get. The patterns your agency feels but can't prove.
Markets
It puts your costs next to the outside world — live commodity indexes and federal spending baselines — so "prices went up" becomes a number you can check, and a negotiating position you can defend.
The suite
Every tool below runs on the same engine — give it data, it structures it, finds what matters, and compares it to the outside world. We turn one on at a time, with the customers who need it most. Here's the whole map, and exactly what's ready.
Where the money goes — and where it's leaking.
Your brand, your market, and the customers worth chasing.
Borders, tariffs, and the routes your goods travel.
What you hold, what you make, and what you'll run short of.
The prices and macro forces that move your costs.
Your move
Tell us where it hurts most. That's the one we turn on first — pointed at your data, not a demo dataset.
How it works
Doing this with people used to cost a fortune and take weeks. Two things changed: the analysis got cheap enough to run constantly, and machines finally got good enough to read messy real-world data. So we built the team you wish you could hire — six steps, working around the clock, turning raw data into something you can act on.
Your spend files, supplier lists, and sales exports, plus the data the world publishes about your market: customs records, filings, local news, price indexes, registries. We take it all.
This is the unglamorous part nobody else does well. Messy exports and misspelled vendor names become clean, labeled, comparable records. No more reconciling spreadsheets by hand.
Not one generic chatbot. Purpose-built models that classify, score, and connect — one tuned for pricing, one for suppliers, one for risk — running over your whole dataset, not a sample.
A separate review pass verifies every claim against its source. If a number can't be traced back to where it came from, it doesn't ship. No confident-sounding guesses.
Your numbers, placed next to live commodity indexes and federal spending baselines. "Prices went up" becomes "the index moved 4%, your supplier moved 11% — here's the gap."
A clean dashboard, a weekly digest, or a plain-English email when something needs you. You choose how you hear about it. We do the work behind the screen.
In practice
These are the kinds of things it surfaces — the gaps a busy team can't catch on their own because finding them means reading everything, all the time.
A supplier raised prices 11% and blamed the steel market. The engine pulled 18 months of line-item pricing, laid it over the public steel index, and showed the index had moved 4%. The other 7 points were margin. That's a different conversation — backed by a chart, not a hunch.
A brand team felt their best-performing videos had something in common but couldn't name it. The engine watched the actual footage across the category and found the pattern: the openings, the pacing, the on-screen claims that tracked with results. Creative instinct, finally turned into evidence.
An input cost the business depended on started drifting in the index weeks before it hit invoices. Because their spend was already mapped to that index, the engine flagged the exposure early — with enough lead time to lock pricing instead of eating it.
Insights
Supplier price increases cite commodity indices. But when you overlay line-item pricing against the actual index, the market explains a fraction of the movement. The rest is supplier behavior nobody is tracking.
67% of the category can't survive a CFO asking for causal proof of ROI. We mapped the shift from belief business to measurement business across five companies.
Finance is 11% of the opportunity. The industries with the deepest blockchain-relevant problems are the ones nobody is pitching.
Where this goes
The public markets got a real-time nervous system decades ago — a terminal that tells traders the moment anything moves. Everyone else, the companies that actually make and move things, never got one. We're building it: start by making sense of the data you already have, then watch the world around it, and one day tell you the moment something changes — before it shows up on your invoice.
Stop finding out three months late.