ShipLabsLean AI-Native Systems Engineering & Strategic Consultancy
We are a lean, developer-first AI consultancy. We deploy autonomous agent loops and orchestrate highly optimized data pipelines for teams turning complex operations into reliable software, and we harden fast-built apps so they are safe to put in front of customers.
ShipLabs is an OpenAI Select Partner, helping organizations build, deploy, and scale reliable AI systems responsibly and effectively.
Traditional technology consulting is broken. Incumbent firms deploy heavy armies of junior analysts and project managers who build beautiful presentations and deliver zero working software. This model is collapsing under the weight of its own bloat.
ShipLabs operates differently. We are an AI-native, engineering-driven agency. We utilize highly advanced coding agents, automated unit testing, and model-guided generation loops to operate at a scale that once required dozens of developers.
Our lean architecture means we have no middle management, no unnecessary alignment meetings, and no corporate overhead. When you partner with ShipLabs, you work directly with veteran software engineers who build, ship, and support production-ready AI systems.
Operational Protocol
"Our metric of success is simple: lines of operational, high-performance code running in your cloud infrastructure within weeks. We build deep integrations into legacy databases, write deterministic validation wrappers around probabilistic LLM outputs, and make your business workflows autonomous."
We specialize in operational environments where reliability matters: complex regulatory requirements, multilingual customer interactions, high-volume data movement, and deeply integrated legacy systems. Every solution is engineered for real-world scale, traceability, and long-term maintainability.
We build state-machine agent loops, deterministic retrieval systems, and high-throughput extraction pipelines, and we harden fast-built apps for production.
Supervisor and worker loops governed by explicit state machines. We use bounded execution graphs, isolated sandboxes, and cryptographic audit trails instead of open-ended conversational prompts.
Knowledge-graph retrieval with cross-encoder re-ranking and deterministic verification rails. Built for zero-tolerance compliance and regulated operations.
Multimodal extraction pipelines that convert messy PDFs, thermal receipts, and contracts into typed database records with continuous confidence scoring.
Security assessments for web, mobile, and AI applications, and the engineering work to take vibe-coded apps to production: server-side auth, database policies, secrets, tests, and monitoring.
Our open sandbox of products built, tested, and actively maintained in-house.
A high-throughput API designed for enterprise template rendering. Create highly reusable HTML/CSS templates and dynamically generate secure, pixel-perfect PDFs at scale. Ideal for invoices, compliance reports, and dynamic contract delivery.
A binary-delta over-the-air (OTA) updates architecture. Seamlessly ship JavaScript, layout, and static asset updates directly to live React Native applications. We leverage advanced `bsdiff` delta sync protocols to minimize bandwidth and ensure 100% update delivery.
Operations and compliance software for multi-location restaurants and cloud kitchens. Owners schedule checklists across locations, staff complete them on their phones with photo evidence, AI does the first pass on task photos and delivery bills, and missed or failed work becomes a tracked corrective action until a manager closes it.
Our written briefs on applying AI to high-impact industries and operational systems.
AI coding tools are very good at getting an app to work. They are much less reliable at stopping it from doing things it shouldn't. Here are the five gaps that show up most often, and a check for each one you can run yourself before launch.
→ Database access rules on every table
Read BriefIn Supabase, the key in your frontend is public by design. Row-level security is the only thing standing between it and your users' data. Here are the five mistakes that break that protection, how to find them in your own project, and the SQL to fix each one.
→ RLS enabled on every public table
Read BriefJev, Clef, and OpenAI's Decisions API shipped within three weeks of each other, and none of them write text. Here's what the requests actually look like, how the three differ, and the adapter and cascade we'd put around them in production.
→ List price per 1M input tokens: Jev $0.042
Read BriefEnterprise finance teams spend thousands of manual hours reconciling supplier invoices against purchase orders, goods receipts, and payment ledgers. Here is how we automated it.
→ Manual audit times reduced by 92%
Read BriefHigh-volume restaurants and service networks lose order potential during peak traffic because their teams cannot answer every call. We built low-latency multilingual voice systems linked directly to demand and procurement forecasts.
→ Zero missed phone calls
Read BriefRegulatory requirements can change overnight. We built deterministic Graph RAG architectures to monitor authoritative updates and automatically suggest redlines to existing policies and agreements.
→ Corporate policy audit turnaround reduced from 14 days to 4 minutes
Read BriefWe do not pitch or compile slide decks. Tell us about your complex database architectures, pipeline challenges, or operational friction points. We will respond with a functional design outline or prototype proposal.
Book a direct 30-minute technical session on our calendar to discuss your database architectures, pipeline requirements, or automation hurdles:
Direct developer access · Instant booking
Skip the scheduling cycle and drop us your specific engineering problem statements, pipeline schemas, or structural bottlenecks:
Response time typically under 12 hours.