The strongest AI model plans each job and checks every answer. Cheaper models do the bulk of the work. You get top-model quality for 9 to 25 times less, with a receipt on every job showing what you saved.
Long contracts, a year of supplier statements, thousands of claims, agents that reread the same files at every step. The cost grows with every page.
A frontier model reads all of that well, and charges for every word. Comb & Clover keeps it for the planning and the hard calls and hands the reading to open models that cost a small fraction as much. The arithmetic is done in code, and nothing is accepted until it passes the job's checks.
Reconciling a year of supplier statements against the ledger, Comb & Clover got the same answer as Opus for about 15% of the cost. A $1 million job becomes a $150,000 one.
The plan is written once and kept. Next month's batch skips that step and runs at worker prices.
An invoice exception desk run as an Opus agent costs about 130 times more than the same desk run as a Comb & Clover plan, once the plan exists.
A quick one-off question goes straight to the frontier model, because that's cheaper. Comb & Clover makes that call for each job.
You upload the documents and say what you need. From there the work moves through four roles.
A frontier model looks at a few samples and decides what to pull from each document, how to check it and how the results add up. You pay for this once per kind of job.
A short tryout picks the cheapest open models that pass the job's checks. They read hundreds of documents at once. Sums and comparisons are left to code.
Totals have to reconcile and two different models have to agree. When they don't, a stronger model reads it again, and only real stand-offs go back to the Queen.
Afterwards it looks at where the workers disagreed and sharpens the instructions, so the next batch needs fewer escalations.
We've measured the first four on real or exactly graded data. The last two run on the same engine but haven't been benchmarked yet, and are marked that way.
Go through every customer and supplier agreement in a data room and pull out governing law, change of control, exclusivity, non-compete, assignment and renewal terms, quoting the clause each answer came from.
Match a year of supplier statements against the ledger and find the missing invoices, the keying errors and the duplicates before month-end.
Match each invoice to its purchase order and goods receipt, apply your payment policy, and mark it pay, hold or escalate, with the reason written down.
Read phone photos and scanned pages. If the line items don't add up to the total, the reading is thrown out and done again.
Pull policy numbers, dates, amounts and loss details from claim forms, photos and repair quotes, check them against the policy schedule, and send anything that doesn't fit to an adjuster.
Check each supplier's certificates, registrations, insurance and bank letters for expiry dates and names that match your vendor file, and list what's missing.
Take work that would cost $1 million a year with Opus doing it alone. This is what the same work costs through Comb & Clover, based on the cost ratios we measured.
| For every $1,000,000 of Opus spend on | Comb & Clover costs | You save |
|---|---|---|
| Contract review | $113,000 | $887,000 |
| Statement reconciliation | $148,000 | $852,000 |
| Receipts and scanned documents | $333,000 | $667,000 |
| Invoice exception desk, repeat batches | $8,000 | $992,000 |
Projected from the measured runs below. Real costs depend on document length and how often the work repeats.
Real runs at what they were actually billed. The bar shows Comb & Clover's cost as a share of Opus doing the same job alone.
| Job | Accuracy | Opus alone | Comb & Clover | Comb & Clover vs Opus | |
|---|---|---|---|---|---|
| 80 real contracts, checked against lawyers' answers | 286 vs 284 of 320 | $4.41 | $0.50 | 9× cheaper | |
| 95 real receipt photos | 93 vs 92 of 95 | $0.84 | $0.28 | 3× cheaper | |
| A year of supplier statements vs the ledger | both exact | $1.00 | $0.15 | 7× cheaper | |
| 30-invoice exception desk, each repeat batch | both exact | $0.79 | $0.006 | 130× cheaper | |
| 95 receipts as text, a small one-off job | 91 vs 95 of 95 | $0.09 | $0.10 | Opus wins |
Opus wins the last one, which is why small one-off jobs go straight to it. The savings come from volume.
Yes. For every document there's a record of which model read it, which checks it passed, where models disagreed and what settled it.
Every job is priced before it runs, next to what Opus alone would cost. Escalations to the frontier model stop at a fixed budget.
You can run on your own model account so usage is billed to you. Nothing you send is used for training unless you switch that on.
It connects read-only to Google Drive, SharePoint, Gmail, Slack, Salesforce, Xero, Snowflake and others. There's an API, and it takes PDFs, scans, Word, Excel, CSV and images.
No. Workers are picked per job from open models across several providers. When a cheaper one passes the tryout, it takes over.
Plans and finished work are reused, so running a job a second time costs less than the first. With your permission, checked results can train specialist workers for your regular jobs.
Before each job you see what Opus alone would charge. A Comb & Clover job costs 35% of that. Small jobs that go straight to the frontier model are charged at cost plus a small fee.
If you use your own model account, you pay the provider directly and Comb & Clover charges a platform fee.
Ask Claude and ChatGPT the same thing and you get two answers and the job of deciding between them. Cross-Pollinate does that part for you.
Each model answers on its own first. Then they read each other's answers, challenge the weak points and revise. A model that took no part writes the final answer, says how confident it is, and lists anything they still disagree on, with the stronger case for each side.
Use it for decisions where being wrong is expensive: a policy, a vendor choice, a legal reading, a strategy call. It costs more than asking one model, usually between 5 and 60 cents a question.
Try Cross-Pollinate