Build AI agents
behind your firewall.
Daylite is a self-hosted AI agent platform with an 11-layer security scanner. API keys, source code, PII, infrastructure configs — caught and blocked before they reach any LLM provider. No-code workflow builder for fintech, healthcare, and defense. Under 2ms scanning overhead. FIPS-validated encryption.
Two products. One platform. Zero data leakage.
Existing platforms force a choice: easy to use (Stack AI, Dify) but cloud-only, or compliant (Palantir, IBM) but costs millions. Daylite is both.
Built for regulated industries
One platform, vertical compliance modules. Each module adds industry-specific PII rules, templates, and audit requirements on top of the shared core.
The $14B gap nobody fills
Easy platforms lack compliance. Compliant platforms lack usability. Daylite is both.
Rust core. Single binary. Clean SBOM.
While competitors ship 50+ Python containers with thousands of transitive dependencies, Daylite ships a single Rust binary with FIPS encryption and a deterministic SBOM.
Pilot to production in 90 days
Enterprise AI deployments don't need to take 18 months. Daylite deploys in your VPC in days, not months. Here's the typical pilot timeline.
Pricing
Annual platform license. Predictable costs. No per-token surprises.
Questions your compliance team will ask
What is a sovereign AI platform?
A sovereign AI platform runs entirely within your own infrastructure — your VPC, your data center, or your air-gapped network. Your data never leaves your security boundary. Daylite combines a no-code AI agent builder with built-in compliance controls (PII redaction, audit logging, budget enforcement, FIPS encryption) so regulated enterprises can deploy AI without compromising data sovereignty.
How is Daylite different from Stack AI or Dify?
Stack AI and Dify are excellent no-code AI builders, but they lack deep compliance: no PCI-DSS, no FIPS-validated crypto, no SBOM generation, and limited air-gap support. Daylite is built from the ground up for regulated industries — Rust core (not Python), single binary deployment, FIPS-validated encryption via aws-lc-rs, and vertical compliance modules for fintech, healthcare, and defense.
How does PII redaction work with commercial models like GPT-4o?
When a workflow routes to a commercial model, PII is stripped from the prompt BEFORE the request leaves your network. SSNs, emails, phone numbers, and credit cards are redacted via regex and lightweight NER. The sanitized query goes to GPT-4o via Azure Government or AWS GovCloud. Sensitive data that cannot be sanitized (PHI, classified) routes exclusively to local models. You configure routing rules per workflow — no data leaves without explicit policy approval.
What compliance certifications does Daylite have?
Daylite uses FIPS 140-3 validated cryptography via aws-lc-rs (Certificate #4816) — a pre-validated library, not a custom certification. Audit logs are generated in SOC 2-compatible structured JSON format to accelerate your SOC 2 Type II audit, but Daylite itself is pursuing certification (target Q4 2026). HIPAA technical controls (PII/PHI redaction, access logging, encryption at rest) are built in — BAA signing available for Enterprise tier. CycloneDX SBOM generated for every build.
How does deployment work in an air-gapped environment?
Daylite packages as a single signed tarball compatible with Zarf (the DoD standard for air-gapped Kubernetes). Transfer via approved media, deploy to your disconnected cluster. No internet, no DNS, no external dependencies. GPU drivers and LLM weights bundled offline. Harbor for local container registry.
Why Rust instead of Python?
Three reasons: supply chain security, SBOM quality, and deployment simplicity. Rust produces a single static binary — no Python interpreter to hijack (as demonstrated by the March 2026 LiteLLM supply chain attack that compromised AWS credentials via a .pth file). Cargo.lock provides deterministic, verifiable SBOMs. And a 50MB binary replaces the 50+ Python containers that competitors require.
See Daylite in your environment
Request a demo deployment in your VPC. Or start with a 90-day pilot. We'll show you exactly how your data stays inside your boundary.
Or contact us at hello@daylite.ai