Scaling Reasoning in the age of AI

Symbolic execution that finds bugs today — and teaches AI to find them tomorrow.

queue.c
1
enum cc_stat cc_queue_new_conf(CC_QueueConf const * const conf, CC_Queue **q)
2
{
3
CC_Queue *queue = conf->mem_calloc(1, sizeof(CC_Queue));
4

5
if (!queue)
6
    return CC_ERR_ALLOC;
7

8
CC_Deque *deque;
9
cc_deque_new_conf(conf, &deque);
10

11
if (!deque) {
12
    conf->mem_free(queue);
13
    return CC_ERR_ALLOC;
14
}
15

16
*q = queue;
17

18
return CC_OK;
19
}
>
Parsing
Generating traces
Analysing
Error
Accessing uninitialized memory in cc_queue_new at line 11.

Why ?

Formal verification × AI

LLMs approximate reasoning about code. Soteria makes it exact.

Verify what LLMs write

Catch memory bugs, overflows, and undefined behavior in AI-generated code before it reaches production — automatically, with full symbolic path coverage.

Improve how LLMs reason

Soteria's symbolic execution traces are proven training signal. Published research shows 19+ pp improvement in violation detection with just ~3,000 traces.

Built on peer-reviewed research from Imperial College London and Amazon Web Services.
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