9X
R&D TO ATO
Sentinel by Noah
The first AI IDEfor regulatedindustries.
Full codebase context, policy aware execution, and airgapped operation so mission software can modernize without losing control.
Pilot access for defense, federal, and regulated enterprise teams.
2 to 15X
ENGINEER OUTPUT
550%
PIPELINE SPEED
200%
CODE COMPREHENSION
91.1%
SWE Bench+
Why mission software breaks.
Legacy stacks, disconnected tools, and cloud first AI don't match how classified and regulated teams actually ship.
Context disappears across tools.
Review, policy, and execution split across products, so engineers lose the thread before risk shows up in review.
Third party AI isn't a given.
Models and assistants you don't control introduce unknown egress paths, hard to justify where data can never leave the wire.
Traditional IDEs weren't built for proof.
Most environments can't tie formal checks, cyber posture, and migration work to the same change set.
Playbooks still assume the cloud.
Teams in airgapped and policy heavy estates need tooling that matches deployment reality, not a retrofit.
SENTINEL
01 / Context
Infinite Codebase Context
7.5M tokens of repository wide awareness, with full project context kept live while Sentinel works.
02 / Agent
25K Line Agent Mode
Multi step planning and tool orchestration with edits up to 25,000 lines per session.
03 / Quality
Formal Provers Built In
Static and runtime analysis, cyber posture checks, and proof verification before review.
04 / Airgap
100% Local & Airgapped
No cloud calls or telemetry, with execution kept fully inside your network perimeter.
01 / Context
Infinite
Codebase
Context
Codebase
Context
7.5M tokens of constant codebase wide awareness. Sentinel ingests your entire repository and never loses sight of it.
02 / Agent
25K Line
Agent
Mode
Agent
Mode
Multi step planning with deep tool orchestration. Edits up to 25,000 lines per session, aligned to your engineering standards.
03 / Quality
Formal
Provers
Built In
Provers
Built In
Static and runtime analysis, cyber posture checks, formal proof verification. Every change verified before your review pipeline.
04 / Airgap
100%
Local &
Airgapped
Local &
Airgapped
No cloud calls. No telemetry. Sentinel operates entirely within your network perimeter, built for the most constrained regulated environments.
CODEC
Codec-227@
Transposer
nuke2.c
modernized.rs
agent/
migration.yaml
formal_proof.v
nuke2.c
modernized.rs
diff
// Legacy - unsafe raw pointer arithmetic
typedef struct Packet {
uint8_t* data;
size_t len;
} Packet;
int checksum(Packet* p) {
int sum = 0;
for (size_t i = 0; i < p->len; i++) {
sum += p->data[i];
}
return sum & 0xFF;
}
// Sentinel - memory-safe, zero unsafe blocks
pub struct Packet {
pub data: Vec<u8>,
}
pub fn checksum(packet: &Packet) -> u8 {
packet.data.iter()
.fold(0u16, |acc, b|
acc + *b as u16)
as u8
}
// ✓ formal proof: no unsafe ✓ STIG compliant
// Sentinel diff - nuke2.c → modernized.rs
- int checksum(Packet* p) {
+ pub fn checksum(packet: &Packet) -> u8 {
- int sum = 0;
- for (size_t i = 0; i < p->len; i++)
- sum += p->data[i];
- return sum & 0xFF;
+ packet.data.iter()
+ .fold(0u16, |acc, b| acc + *b as u16)
+ as u8
// ✓ 0 unsafe blocks ✓ DoD STIG ✓ ATO-ready
$ sentinel plan --goal migration.yaml --airgapped
✓ analyzing repository context ... done
✓ spawning agent workers ... done
⟳ running formal proofs and static checks ...
✓ patchset written + review notes generated ... done
✓ Airgapped
✓ 7.5M ctx
✓ STIG
✓ Formal Proof
7.5M+
tokens of codebase context in a single session
25K
lines per agent session, orchestrated to your rules
100%
local & airgapped, no required cloud calls
Use cases
Where Sentinel fits first.
Numbered flows similar to product led security sites, mapped to defense and federal software delivery.
Legacy modernization
Migrate safety critical C/C++ toward memory safe targets with proofs and diffs attached to the same change set.
ATO aligned delivery
Keep STIG oriented checks and documentation adjacent to code, not reassembled by hand after the fact.
Airgapped programs
Give teams modern AI assistance without network paths that violate program policy.
Human in the loop review
Audit trails, visualization, and explicit diffs, with no black box refactors.
US Federal & defense programs
Sentinel is positioned for mission assurance in disconnected estates, where "AI in the IDE" must match classification, RMF, and operational reality, not consumer SaaS defaults.
Validated outcome
From manual QA to automated IL-5+ and SOX, at larger scale and in a fraction of the time.
Validated outcome from the TSRI / Deutsche Bank KreditManager modernization.
Case comparison
Non-agentic way
TSRI · Deutsche Bank
Sentinel
Noah Labs
COBOL & JCL → Java & Python · KreditManager · Deutsche Bank
Cost
Contract value for the same modernization motion.
$150,000+
$50,000
3× cheaper
Duration
Time required to complete the delivery motion.
12 months
2 weeks
24× faster
Scale
Lines of code delivered inside the modernization scope.
397K lines
500K+ lines
Larger scale
Compliance
Review model and assurance posture attached to delivery.
Manual QA
Automated
IL-5+ & SOX
Benchmark
SWE Bench+ signal (internal)
Noah internal benchmarking, Sentinel highlighted against airgapped and frontier baselines.
X axis tools and environments compared · Y axis SWE Bench+ resolved rate (%)
Affiliations
Institutional network across research, defense, and venture.
A clearer snapshot of the environments behind Noah Labs, spanning national security, aerospace, frontier research, and early stage company building.
Georgetown University
Academic foundation
Policy, interdisciplinary research, and public interest systems thinking.
In Q Tel
National security context
Applied innovation, dual use technology, and mission driven deployment pathways.
NASA
Mission assurance
Safety critical engineering, complex systems, and high reliability execution.
Lockheed Martin
Defense systems
Defense grade software, aerospace programs, and operational resilience.
Stanford University
Research depth
Frontier research, technical rigor, and founder adjacent innovation culture.
StartX
Builder ecosystem
Early stage acceleration, operator networks, and disciplined product iteration.
Get started
Book an
intro call.
Tell us about your team. We will reach out as we onboard early pilot users for Sentinel, prioritizing defense, federal, and regulated enterprise environments.
Schedule a meetingLive calendar is now connected. Quick select is still available as a lightweight fallback.
FAQ
Common questions
What is Sentinel?
Sentinel is Noah's AI native IDE layer for regulated codebases: full repository context, agent scale edits, verification hooks, and airgapped operation.
Does Sentinel require the cloud?
No. Sentinel is designed for local and airgapped deployment with no mandatory telemetry or external inference.
Who is the pilot for?
Defense, federal, and regulated enterprise teams modernizing legacy systems under strict policy constraints.
How does this relate to traditional AppSec tools?
Sentinel keeps policy, proof, and engineering work in one place, so verification stays attached to the change, not reassembled after the fact.