“LOCI compares the compiled binary against master — and comments on every Pull Request before merge.”
of teams had a production incident from AI-generated codeSource
LOCI Catcheswhat coding agentsmiss.
“You’re right. I missed that.” · AI coding agent
Validation across the agent loop.Tells agents how the SW behaves.Less back-and-forth. Higher accuracy.LOCI reads BIN files. Sees how code behaves, beyond source or patterns.She validates agent decisions at Plan, Write, PR, and Merge.Less back-and-forth. Less time. Higher first-pass accuracy.
Real-HW traces · No runtime · No instrumentation
Example · LOCI in the loop
Add Redis caching to the orders API.
Wrap getOrders() in a 60s cache keyed by order id.
Key omits tenant_id — cross-tenant reads under load. Push back.
evidence ·12 ms · 8k req/s · 14/16 traces
Re-scoped key to tenant + order, added TTL jitter. ✓
Plan-time catch · Redis cross-tenant leak.
Trusted by partners, customers & investors
LOCI demo step by step.
LOCI brings trust to your agentic workflow.

LOCI demo step by step.
LOCI brings trust to your agentic workflow.
- Verdict + evidence in seconds
- Trained on real CPU hardware traces
- No instrumentation, no runtime
- Claude Code · Cursor · Copilot · agent-agnostic
LOCI in the loop, not in the way.
An independent validation layer at every stage of the agent loop — plan, write, PR, and merge.
LCLM small models trained on what general LLMs never see.
A small specialist trained on real hardware traces. Catches behavioral regressions that source-code-only LLMs miss — at a fraction of the cost.
NVIDIA / AMD / ARM
real-hw runs
Trace
execution data
LCLM
execution model
LOCI Guardian Agent
agent in the loop
Deterministic
Bounded by physics
Verifiable on hardware
Human-on-the-loop
Earn LOCI's autonomy. On your terms.
Hand off at your pace. Each rung is opt-in.
Silent surface. Evidence on demand. Zero PR noise.
PR comment with verdict + drill-down. Never blocks.
Blocks merge on critical-gate failure. Advises on the rest.
Auto-action — block · revert · escalate. Notifies you after.
NewEDA & pre-silicon
We're bringing execution signals to RTL teams.
RTL execution intelligenceGround your Verilog in the customer’s real workload.
No sim re-run per RTL change. LOCI attributes every cycle, prices decisions before silicon.
Workload binary
ELF · firmware · kernel · inference
LOCI analysis
Execution signals
EDA / RTL stack
Sim · emu · copilot · verify
Pre-silicon · workload → execution signals → EDA stack
“Throughput-per-Watt and CPU/GPU hotspots predicted in the CI/CD pipeline — without source-code access.”
AWS Marketplace
LOCI Performance Intelligence · AWS Marketplace
“Binary line-of-code updates over NTT DATA's Private 5G expand cellular broadcasting capacity from 1,000 to 5,000 machines per radio cell.”
NTT DATA
LOCI LCLM × NTT DATA Private 5G
“LOCI's binary delta engine creates compressed functional updates up to 97% smaller — cutting cloud transport costs across major fleets.”
Deutsche Telekom · T-Systems
LOCI delta engine × T-Systems cloud
“On AURIX™ TC4x, LOCI 2.0 enforces Quality Contracts — blocks releases that exceed stack-depth or latency budgets.”
Infineon Technologies
LOCI 2.0 · AURIX™ TC4x
“Runs on the NPU as a Reliability, Availability and Serviceability engine — flags risky functions before they fail.”
STMicroelectronics
LOCI RAS Engine · ST Partner Ecosystem
Built to the standards your compliance team already trusts.
8 years shipping into automotive and industrial systems. LOCI inherits the rigor.
ASPICE Level 2
Automotive software process maturity
ISO 26262 / ASIL-B
Functional safety for automotive
ISO 21434
Cybersecurity engineering for road vehicles
Autonomous Vehicles
Production AV programs · ISO 21448 / SOTIF aligned
ISO 27001
Information security management
120+ Patents
Binary analysis & execution modeling
Works with the tools your team already uses
- Platformself-hosted · SaaS
- GitGitHub · GitLab · Bitbucket
- AzureDevOps · pipelines
- AWSMarketplace listing
- Claude CodeMCP plugin
- CopilotCLI hook · skills
- GCC+ Clang · LLVM · MSVC
Could you ask a frontier LLM instead?
You could. It would cost ~220× more per query — and miss by hundreds of percent. Behavioral prediction needs real execution traces, not source code alone.
- Trained on
- Source code
- Predicts from
- Patterns
- Accuracy
- 100s of % drift
- Cost per query
- ~220× more
- Trained on
- Real hardware traces
- Predicts from
- Execution behavior
- Accuracy
- Trace-validated
- Cost per query
- Small specialist · efficient
Small specialist + real execution > frontier LLM + source code.
Guard every coding agent decision with execution evidence.
Your agents are already shipping decisions. LOCI gives every one — plan, PR, merge — runtime-grade evidence the agent and reviewer can act on.
of AI coding agents introduce quality regressions during long-term maintenance.Source