Core Systems Engineering

Production AI Systems Engineering.
Zero Wrapper Code.

We design, benchmark, and deploy reliable AI systems with deterministic guarantees, strict schemas, and isolated infrastructure.

Architectural Domains

Three Pillars of Operational AI

Built for high-volume operations, full auditability, and production reliability.

Pillar 01

Deterministic Agentic Workflows & Multi-Agent Swarms

State-machine-governed supervisor-worker agent loops for complex operations

We replace brittle, open-ended chatbot prompts with deterministic directed state graphs. Every agent transition is bounded by typed schema validation, execution budgets, step ceilings, and human-in-the-loop checkpointing.

LangGraphFinite State MachinesIsolated SandboxesAudit Trails
Production Deliverables
  • Supervisor-worker multi-agent coordination architectures
  • Cryptographic execution tickets with step & token spend caps
  • Micro-virtualized gVisor / WebAssembly tool execution sandboxes
  • Transactional write-ahead log (WAL) state hydration in <200ms
  • Suspended-state human approval gates via Slack & webhooks
Verified Result

Eliminates infinite recursion · 100% deterministic state transitions · Cryptographically auditable

Pillar 02

Deterministic Graph RAG & Knowledge Grounding

Hallucination-resistant retrieval for high-stakes regulatory & compliance environments

Vector similarity alone fails on complex regulatory circulars, statutory exclusions, and financial agreements. We combine structured knowledge graphs with dense vector retrieval and token-level citation verification.

Graph RAGNeMo GuardrailsCross-EncodersNLI Verification
Production Deliverables
  • Hybrid dense-vector (Pinecone/pgvector) & knowledge graph (Neo4j) topology
  • Natural language inference (NLI) sentence-by-sentence fact-checking
  • Character start/end source document coordinate bounding boxes
  • Event-driven incremental knowledge graph updater from DMS & S3
  • NeMo Guardrails intercepting prompt injection and PII exfiltration
Verified Result

Turnaround reduced from 14 days to 4 mins · Verified citations on 100% of claims · Zero hallucinations

Pillar 03

Production Document Intelligence & Schema Normalization

High-throughput multimodal extraction converting messy inputs into typed ERP ledgers

We turn unstructured PDFs, faded thermal receipts, and multi-page tables into typed JSON schemas with 99.8% precision, automated arithmetic verification, and direct ERP sync.

LayoutLMVision TensorsStructured OutputsERP Reconciliation
Production Deliverables
  • Tensor-level image filtering (CLAHE) for degraded thermal receipts
  • Continuous spatial graph parsing across unpredictable page breaks
  • Three-way invoice-to-PO-to-goods-receipt semantic reconciliation
  • Automated vendor dispute drafting for missing lines or discrepancies
  • Native ERP connectors: SAP IDoc/RFC, NetSuite, and EDI 810/850
Verified Result

99.8% extraction precision · 92% reduction in manual audit cycles · Automated ledger closing

Technical Protocol

Deterministic Code vs. Probabilistic Prompting

How our engineering practices differ from typical AI wrapper consultancies.

Standard AI Consultancy
ShipLabs Systems Engineering
Unbounded conversational loops with risk of infinite recursion.
Finite state graphs with step budgets and cryptographic ticket timeouts.
Unchecked cosine similarity retrieval with hallucinated answers.
Hybrid Graph RAG with NLI sentence-level entailment and verified citations.
Generic prompt instructions hoping the model outputs valid JSON.
Grammar-level token masking and strict Pydantic/Zod schema compilation.
Proprietary platform dependencies and recurring vendor lock-in.
100% intellectual property ownership, open runtimes, and direct code delivery.
Direct Engineering Access

Deploy Reliable Systems in Weeks.

We work directly with senior software architects and operations leaders. Connect with our engineering team to review your schemas, latency constraints, and operational bottlenecks.

Schedule a Briefing

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

Direct Email Consultation

Skip the scheduling cycle and drop us your specific engineering problem statements, pipeline schemas, or structural bottlenecks:

Response time typically under 12 hours.