Linear prompt execution
- MEGA-PROMPT CONTEXT
- IMPLICIT RETRIES
- UNSCOPED MEMORY
- NO REPLAY CONTRACT
We engineer production-grade LLM orchestrators, low-latency data transformation pipelines in Rust, and resilient Kubernetes infrastructure. We don't build wrappers—we build the core runtime that keeps generative systems auditable, fast, and crash-proof.
64k-row batches with columnar serialization and bounded worker memory. Reference benchmark; workload and topology dependent.
SOURCE / RUST PIPELINE ↗Tenant boundaries, fault-tolerant ingress, and isolated worker pools across private AWS VPC and Azure VNet topologies.
SOURCE / CLUSTER BLUEPRINT ↗Decoupling stochastic model behavior from business logic. We construct state-machine-driven agentic loops with dynamic strategy injection, eliminating hallucinations through deterministic runtime verification.
High-throughput translation of relational schemas into columnar formats. Zero-copy Rust serialization for PostgreSQL to Parquet streaming, optimizing analytics pipelines at gigabyte-per-second scales.
Private cluster isolation, automated rollout topologies, and zero-data-leakage deployments across AWS VPC and Azure VNet to meet stringent enterprise compliance.
Typed state transitions, explicit contracts, replayable traces, and policy gates keep model behavior inside a testable system boundary.
CONTRACTEDTimeouts, retries, rejection paths, and fallbacks are designed into the graph instead of hidden inside a prompt.
EXPLICITEvery meaningful transition emits a trace ID, event timestamp, and verification result for diagnosis and audit.
TRACEABLEPrivate network isolation, controlled provider boundaries, and zero-data-leakage deployment patterns protect sensitive workloads.
ISOLATEDAWS VPC and Azure VNet deployment patterns with private subnets, isolated worker pools, and controlled egress.
NETWORK / PRIVATE / ISOLATEDRegion-pinned storage and provider routing with zero-data-retention policies for sensitive enterprise workloads.
REGION / PINNED / NO RETENTIONUntrusted model output, provider boundaries, credential exposure, and data exfiltration are explicit rejection surfaces.
INPUT / ADVERSARIAL / REJECTEDImmutable releases, health gates, replayable queues, and bounded recovery paths restore service without hidden state.
RELEASE / HEALTH GATE / REPLAYDeterministic State Machines for Non-Deterministic Models
Modular conversation orchestrator decoupling prompt context from state transitions via Strategy Pattern execution. Powers the live multi-modal AI tour production in London (Crown Uncovered).
High-throughput database extraction in Rust
Ultra-efficient binary stream translation from PostgreSQL databases into columnar Apache Parquet. Designed for sub-second analytical ingestion and minimal memory footprint.
Production cluster topologies and orchestration patterns
Hardened Kubernetes deployment manifests, fault-tolerant ingress routing, and observability blueprints for high-concurrency microservices.
Most of the modern AI ecosystem is built on fragile mega-prompts and linear chains that fail when edge cases multiply. At Personatio, we believe intelligence must be bound by strict state machines and high-performance systems programming. If a system cannot be deterministically tested and traced, it does not belong in production.NO WRAPPERS. NO BLACK BOXES.
For technology licensing, runtime integrations, or enterprise partnerships: