Artificial Intelligence
Multi-model routing across Pulse (3B–7B), Meridian (13B–22B), Horizon (70B–90B MoE) and frontier APIs under strict evaluation gates.
We decide the stack per engagement, not per trend. Each discipline is led by senior practitioners with published benchmarks, reproducible evaluation harnesses and production contracts.
01 · CORE DISCIPLINES
Tap any discipline below to inspect its production architecture, evaluation benchmarks and technical deliverables.
Multi-model routing across Pulse (3B–7B), Meridian (13B–22B), Horizon (70B–90B MoE) and frontier APIs under strict evaluation gates.
Calibrated tabular gradient-boosted models, compact LLM distillation, custom ranking and 500-case held-out golden evaluation benchmarks.
LoRA/QLoRA domain adaptation, teacher-student distillation, custom embedding/reranker training and quantized GPU serving (vLLM / TensorRT).
Hybrid BM25 + dense vector semantic search, layout-aware PDF/contract extraction, sub-200ms inbox triage and PII redaction.
Git-tracked prompt/model registries, CI evaluation gates, multi-provider failover routers, per-tenant spend caps and OpenTelemetry traces.
High-speed conveyor counting, banking signature verification, U-Net stamp/noise cleanup, warehouse ANPR and edge GPU deployment.
Manual OWASP app/API testing, least-privilege cloud IAM, encrypted secrets vaults, AI prompt firewalls and SOC 2 / ISO 27001 readiness.
Medallion data warehouses across BigQuery, Snowflake and Postgres, automated dbt modeling, CDC streams and AI evaluation corpora.
02 · NON-NEGOTIABLES ACROSS ALL STACKS
Regardless of whether we write TypeScript, Python, Go or Swift, these eight architectural baselines apply to every client engagement.
Every VPC, database, IAM role and firewall rule is declared in Git. Zero manual clicks in cloud consoles.
TLS 1.3 termination, rate-limiting, bot management and global edge caching before requests hit origin.
Short-lived credentials, no production credentials in `.env` files and SSH key-only jump infrastructure.
Playwright E2E suites, Lighthouse budgets and static security analyzers run on every pull request.
Unified tracing across microservices, databases and model calls with SLO alerts routed to on-call.
ACID transactional integrity paired with columnar analytics and high-speed vector retrieval.
Automated TestFlight / Play testing builds on every merge, with staged production rollouts.
Semantic HTML, contrast ratios, screen-reader labels and keyboard navigation verified in CI.
A small senior group rotates through a bench project every quarter. New providers get measured against the incumbent on the tasks our clients care about. No bench pass, no production.
03 · HOW WE CHOOSE
We only pick technologies where our engineers can sign an operating contract for the next 24 months without deprecation fire drills.
No esoteric languages or proprietary lock-in. Your internal team or future hires can read, maintain and extend the codebase immediately.
We model unit cost at 10× scale before build. If a database or API tier gets ruinously expensive at volume, we rule it out up front.
Every data store has a standard export path, every model runs on standard ONNX or container endpoints, and your IP belongs 100% to you.
Architecture review
Share your repository, cloud architecture or product roadmap under NDA. We return a written stack assessment within 3 to 5 working days.