Production-Grade AI Engineering.
Bridging the gap between experimental models and the SLAs your business actually runs on. We design, build, and operate AI systems that hold up under load.
→ rolling out v2.1.4 to prod
→ canary: 5% → 25% → 100%
→ p99 latency: 38ms ✓
→ ready_ Engineering Success Stories
LLM Integration for FinTech
Compliance-aware retrieval layer serving 1M+ queries/day with audit-grade traceability.
Edge Vision
YOLOv8-based detection running on warehouse edge nodes with sub-50ms inference.
Inference Optimization
Quantization + batching reducing GPU spend by 62% with no accuracy loss.
Talk to us arrow_forwardHardened AI Infrastructure
resource "aws_eks_cluster" "inference" { name = "ls-inference" version = "1.30" encryption_config { ... } }_
The Pillars of Our Practice
Scalability by Design
Every system is sized for 10× the day-one load. Capacity planning happens before the first commit, not after the first incident.
Deterministic Reliability
Non-deterministic models, deterministic operations. We invest in eval harnesses, shadow traffic, and rollback paths so behavior change never surprises you in prod.
Security-First Context
Tenancy boundaries, prompt isolation, and data-egress controls are first-class architectural concerns — not features layered on after audit pressure.
Ready to move from POC to Production?
Bring us your stuck prototype, your scaling wall, or your green-field architecture. We'll engineer the path forward.
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