Every AI can read a spreadsheet. None of them know what the numbers mean — unless you tell them. Drop your file, tell Forge what's worrying you, and eight AI analysts turn your data into a decision. And every analysis you save, Forge remembers.
Give any AI a spreadsheet without context and it will apply generic patterns to a specialist problem. The output is confident, readable, and wrong.
An AI without context sees a "flagged" status column and recommends deleting everything flagged. In most operational datasets, flagged means requires review — not remove. The AI turns a quality control signal into a deletion instruction.
When both a calculated value and a stored reference value are derived from the same corrupted source, they match — and the AI concludes both are valid. Without knowing they share an origin, the AI confirms corrupt data as correct.
A 42-million-hectare field is obviously impossible. But without knowing that a normal field in this dataset is 0.5–5 hectares, the AI has no basis to flag it as anomalous. Domain context is the calibration that makes anomaly detection meaningful.
When you chat with Forge about your data, these are the seven dimensions of context it explores. Each one gives eight AI analysts the domain knowledge they need to interpret your data correctly — not just compute it.
The following five runs were performed on the same dataset: 376 flagged field boundary polygons from a carbon credit tree planting operation across verified project sites. The only variable was context.
Run 5 with full context produces findings you can act on immediately — with named field IDs, severity classification, and a phased action plan.
Every analysis produces six tabbed outputs, each a different way of seeing the same data — from a one-page executive summary to ready-to-use Excel formulas.
Forge adapts to your field because you tell it what your data means. The same intelligence that catches a coordinate swap in a carbon credit dataset reads a P&L or an HR export with the same precision.
Upload your monthly income statement. Ask Forge which variances matter, which are noise, and what to present to the board. It understands accruals, extraordinary items, and budget assumptions — because you told it.
Drop your stock or production export. Tell Forge what normal lead time looks like, what your reorder threshold is, and what decisions are on the table. It surfaces the SKUs that matter — not a sorted list of everything.
The Five Runs case study on this page is real. Without context, the AI recommended deleting 371 valid records. With context, it named four specific field IDs for coordinate correction and produced a report submittable to a carbon credit verifier.
Upload your headcount, turnover, or compensation export. Tell Forge which departments are under pressure, what tenure looks like in your industry, and what decision you're building toward. It reads between the numbers.
Upload your trial data, patient records, or lab export. Tell Forge what a valid range looks like for each measurement, what the study protocol requires, and what you're preparing for. It flags the records that will fail peer review.
Drop your sales or margin export. Tell Forge what your target margin is, which product categories have different benchmarks, and what's on the table — a range review, a promotional plan, or a discontinuation decision.
Most AI tools forget everything the moment you close the tab. Forge Excel builds a relationship with your data world over time. Every analysis you save, every context you provide, every domain insight you share — it accumulates. The next time you upload, Forge already knows your field.
Every run is saved to your AI Diary automatically. Reload last month's P&L analysis, change one question, and run it on this month's data. The conversation doesn't end when you close the tab — it continues where you left off.
Your saved analyses aren't static reports — they're living documents. Pull up a previous run, update the file, refine the question, and Forge produces a new analysis with full context intact. Month-on-month comparison at a fraction of the effort.
Forge has a proprietary intelligence layer that accumulates domain knowledge across the platform. The more analysts in your field use Forge Excel, the better it gets at spotting what matters in data like yours. We don't share the technical details. You'll notice the difference.
Excel or CSV. Any dataset. Eight AI analysts working simultaneously, structured to your domain. Saved, reloadable, and getting smarter with every run.