Build agents you can trust with the things you can't afford to get wrong.
Aloe builds the only models in the world with introspection: AI that understands what it does and doesn’t know, and evaluates actions
before taking them. Frontier capability, no hallucinations, and deterministic
output – ready for high-trust applications where LLM errors are
non-starters.
As a marker against which the entire industry is competing, Aloe seems to have slipped to the top.
Ian Krietzberg
“Dawn of the Self-Building A.I.”
“Dawn of the Self-Building A.I.”
Technology
We are the frontier lab building epistemological intelligence: agent models to replace LLMs where trust matters most.
Aloe's architecture is predicated on an understanding of how LLMs work internally and why they hallucinate in the first place. We turn language models into self-building world models that take responsibility for their own knowledge – and its gaps.
Introspection
The most important guardrails are internal. Aloe models are aware of
the limits of their knowledge, and how to test their hunches to get
to clarity.
Determinism
We open models up at inference time to monitor and steer their
internal states with no compute overhead.
Program synthesis
Agents write code as needed to achieve objectives or help reason
about their observations. Useful tools are shared – all Aloes get
more capable together.
Self-directed learning
You can allow your agent to learn from its experiences –
self-improve, fill its gaps, and know better next time.
Aloe already outperforms other agents on important metrics – including the GAIA benchmark of General AI Assistants, across all three levels of difficulty.
GAIA Benchmark
Scores on GAIA benchmark validation set at each difficulty level. Longer is
better.
Aloe was evaluated with human verification of each answer. Some questions are no longer answerable, making a 100% score impossible.
Aloe was evaluated with human verification of each answer. Some questions are no longer answerable, making a 100% score impossible.
Start overdelivering on AI's economic promise.
AI is only as valuable as we can trust it. We bring determinism, problem-solving, and good judgement to every app, agent, and database that can’t wait for a human in the loop.
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