Platform · Reliable AI
Agents fail in three ways: the wrong context, reaching what they shouldn't, or nobody can tell when they're wrong. Meibel builds all three fixes into one platform.
Why agents stall on real work
One flattened table becomes a missing field, then a wrong answer, then a wrong action. At your real volume, nobody catches it.
The table is read whole: item 520, $41.00 an hour after three free hours. Dispute it: $82 owed, not $1,156.
TARIFF p.12 · 0.97ILLUSTRATION · SAMPLE PROJECT · FREIGHT AUDIT
01Context
Agents work on what was extracted, scored and located. Meibel reads every document, stores it for every way it's asked and joins it with your systems.
The table is flattened, the time is misread, and nothing says where it came from.
detention_rate41.000.97 · p.12
free_hours30.98 · p.12
laneATL-CHI0.99 · p.1
departure13:40your TMS · joined
governing_docContract §4.20.95 · p.12
Every value in your schema, scored, located, and joined with your systems.
02Control
Our guardrails, we call them Hardrails, set what each agent can see and call, where no prompt can talk past them. Versions keep behavior fixed.
03Confidence
Every layer is scored, from how the page was read to how good the answer is. You decide what a low score triggers, so people review the exceptions, not everything.
The two that weren't went to a person with their scores, their reasons and the page beside them.
Every score comes with its reason, and every value with its source location.
ILLUSTRATION · SAMPLE RUN
All three, on one answer
Context, control and confidence come from one platform, so every answer carries all three. That's what makes it something you can rely on.
Sourcetariff p.12, item 520
Fields0.97 · in your schema
JoinedSH-55102 from your TMS
Versionv7 · published
Reachread only
Approvals1, before sending
Correctness9 / 10
Data grounding0.86
Tool use9 / 10
Context, control and confidence, on one answer from your files.
From assistant to automation
An assistant answers one question while a person checks it. A reliable agent runs every document and sends people only what needs them.
Every answer needs a person, so the work moves at the speed of the person.
People review the exceptions, with the scores and the page beside them.
ILLUSTRATION · SAMPLE VOLUMES
Prove it on your own work
Run one real process at your real volume and measure it against what your team already knows is right. You decide on your own numbers.
Free to start. Start with one workload. Scale efficiently.
Built on Meibel
Meibel's Generative AI platform has unlocked the full potential of SINE, our foresight analysis and scenario product. The Confidence Framework builds trust and transparency into SINE’s AI-driven insights that empowers our customers to confidently navigate complex strategic planning.
Meibel’s Generative AI Platform allows FAST, along with our subordinate Supporting Effort, to expand the scope of US Army projects we are bidding on. We now deliver AI within our solutions that opens new opportunities, ensuring the military of the transparency, accountability and confidence they require.
An agent you can put on real work without checking every answer. It works from the right context, stays inside the boundaries you set, and scores every answer so people only look at the exceptions.
Yes, and on Meibel they come together. Context without control is a risk. Control without confidence still means checking everything. Confidence without context only tells you the answer is weak.
Documents are where most of the missing context lives, so that's where we start. Agents also work from your databases and your systems through MCP.
An eval tool scores answers after the fact. On Meibel, scores start at the page and run through every layer, next to boundaries and versions, so a low score points at the layer to fix.
Meibel is SOC 2 Type II and HIPAA compliant. Run on Meibel Cloud, a dedicated data plane or your own environment.
Sign up free and refine an agent on one document. Then measure one real process at your real volume against your own ground truth.
Start with one workload. Scale efficiently.
Sign up free and build an agent on one real document. Then run one real process at your real volume and measure it against what your team already knows is right.