Order, from the ground up.
The physical economy runs on paper, maps, and judgment. Loamist turns it into decisions agents can make, and proves every one.
ScrollFig. 01, live: the goods, documents and data flow. Goods, documents and data arrive from 18 real ports on the left half of a dot world map and curve into a gold Loamist core in the center. Each arrival leaves on the right as a bar in one of nine lanes. A dashed evals gate checks every bar; past the gate, bars turn ink and 98.5% of them carry a green dot for passed evals. Move your cursor through the flow to push items aside. Rest the cursor, or tap, on an item to see what it is, on a bar to see its decision, on the gate to see how many decisions passed, on the core to slow the flow, or on a port to see its name.
Read.
Bills of lading, site surveys, rate cards, inboxes. Agents read what your people read, in the form it arrives.
Decide.
Each reading becomes a decision: compliant or not, build here or not, route this way or that.
Prove.
Every decision is checked by evals, and the evals are checked again. That is how accuracy holds at 98%.
Fig. 02: the three beats as dot shapes. Read: a page with text lines, one line in gold. Decide: a three-way fork with the chosen branch in gold. Prove: a green check in a rounded frame.
Fig. 02 · ReadReliability where no one had reached it.
Loamist applies proprietary techniques to reach reliability thresholds in verticals no one had solved, and holds 98%+ accuracy, run after run.
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We know how to build a rigorous eval system
We set the accuracy a decision has to reach before we build the agent that makes it.
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Multi-step evals are required; we build them
Evals, and evals of those evals, that find and remove variance, not just errors.
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In prod, at enterprise scale
98%+ across repeated runs in production, not one good result on a good day.
Have a problem that needs reliability? Trust us with it.
Fig. 03, 32 runs each, same task. A dot-column chart with a y-axis from 70% to 100% and a dashed 98% threshold. Loamist holds 98%+ accuracy across repeated runs: all 32 Loamist runs land between 99.0% and 99.45%, and every top dot is green. Typical agents vary between about 76% and 94%, and none reach the threshold. The comparison is illustrative.
One team. A product for every vertical.
We learned how to make language models work reliably on real operations. Each vertical gets its own product, built by the same people.
