Eight engineering disciplines governed as one system

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

Eight specialized engineering disciplines

Tap any discipline below to inspect its production architecture, evaluation benchmarks and technical deliverables.

L1 · AI Systems

Artificial Intelligence

Multi-model routing across Pulse (3B–7B), Meridian (13B–22B), Horizon (70B–90B MoE) and frontier APIs under strict evaluation gates.

Pulse / Meridian / HorizonClaude 3.7 / GPT-4o / GeminiPermissioned RAGAgent Tool Calling
Inspect AI Architecture
L2 · Applied Models

Machine Learning

Calibrated tabular gradient-boosted models, compact LLM distillation, custom ranking and 500-case held-out golden evaluation benchmarks.

XGBoost / LightGBMCompact DistillationSHAP ExplainabilityHeld-Out Eval Sets
Explore Applied ML
L3 · Neural Weights

Deep Learning

LoRA/QLoRA domain adaptation, teacher-student distillation, custom embedding/reranker training and quantized GPU serving (vLLM / TensorRT).

LoRA / QLoRA SFTDPO AlignmentvLLM / TensorRT-LLMCustom Embeddings
Explore Deep Learning
L4 · Language & Search

Natural Language Processing

Hybrid BM25 + dense vector semantic search, layout-aware PDF/contract extraction, sub-200ms inbox triage and PII redaction.

Hybrid BM25 + VectorCross-Encoder RerankJSON Schema ExtractionPII Redaction
Inspect NLP & Search
L5 · Production Serving

MLOps & Governance

Git-tracked prompt/model registries, CI evaluation gates, multi-provider failover routers, per-tenant spend caps and OpenTelemetry traces.

MLflow / RegistryCI Evaluation GatesMulti-Provider FailoverOpenTelemetry
Explore MLOps Platform
L6 · Visual Decisions

Computer Vision

High-speed conveyor counting, banking signature verification, U-Net stamp/noise cleanup, warehouse ANPR and edge GPU deployment.

Fine-Tuned YOLOU-Net + EfficientNetSiamese VerificationONNX Runtime Edge
Inspect Vision Systems
L7 · Defense & Risk

Cyber Security & Risk Ops

Manual OWASP app/API testing, least-privilege cloud IAM, encrypted secrets vaults, AI prompt firewalls and SOC 2 / ISO 27001 readiness.

OWASP Pen-TestingCloud IAM HardeningSecrets VaultSOC 2 / ISO 27001
Explore Cyber Security
L8 · Pipeline & Lake

Data Engineering

Medallion data warehouses across BigQuery, Snowflake and Postgres, automated dbt modeling, CDC streams and AI evaluation corpora.

BigQuery / Snowflake / Postgresdbt Core + 200+ TestsAirbyte / CDC PipelinesReverse-ETL to CRM
Inspect Data Pipelines

02 · NON-NEGOTIABLES ACROSS ALL STACKS

Eight engineering standards baked into every build

Regardless of whether we write TypeScript, Python, Go or Swift, these eight architectural baselines apply to every client engagement.

01 · Infrastructure as Code

Terraform & OpenTofu versioned repos

Every VPC, database, IAM role and firewall rule is declared in Git. Zero manual clicks in cloud consoles.

02 · Edge & WAF Shield

Cloudflare edge caching & DDoS defense

TLS 1.3 termination, rate-limiting, bot management and global edge caching before requests hit origin.

03 · Zero-Trust Access

Least-privilege IAM and encrypted vaults

Short-lived credentials, no production credentials in `.env` files and SSH key-only jump infrastructure.

04 · CI Regression Gates

Automated test & performance budgets

Playwright E2E suites, Lighthouse budgets and static security analyzers run on every pull request.

05 · Telemetry & Tracing

OpenTelemetry, Prometheus & Sentry

Unified tracing across microservices, databases and model calls with SLO alerts routed to on-call.

06 · Relational & Vector Stores

Postgres, pgvector, ClickHouse & Qdrant

ACID transactional integrity paired with columnar analytics and high-speed vector retrieval.

07 · Mobile Store Pipelines

EAS, Fastlane & phased App Store rollouts

Automated TestFlight / Play testing builds on every merge, with staged production rollouts.

08 · Accessibility Standards

WCAG 2.2 AA and European Accessibility Act

Semantic HTML, contrast ratios, screen-reader labels and keyboard navigation verified in CI.

CROSS-BENCH

We keep a live bench, not a nostalgic stack

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.

Current cycleQ2 · 2026
Benchmarked7 LLM providers · 3 vector DBs
Eval tasks42 client-derived
OutcomeAdded 2 picks · retired 1

03 · HOW WE CHOOSE

Four criteria before any library enters production

Operating Window Two years minimum

We only pick technologies where our engineers can sign an operating contract for the next 24 months without deprecation fire drills.

Team Fit Hirable, readable code

No esoteric languages or proprietary lock-in. Your internal team or future hires can read, maintain and extend the codebase immediately.

Cost Honesty Predictable at 10× volume

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.

Exit Path Exportable data, standard formats

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

Not sure if your current stackwill hold up for the next two years?

Share your repository, cloud architecture or product roadmap under NDA. We return a written stack assessment within 3 to 5 working days.