Turnkey AI projects — from prototype to production

AI consultancy that ships production-ready systems.

We build customer-facing multimodal RAG experiences, staff training systems, and multi‑LLM workflows— engineered for observability, repeatability, and cost‑scaling.

RAG + MultimodalDocs, images, tables, PDFs → reliable answers
Enterprise‑gradeSecurity, guardrails, evals, auditability
Cost‑scaledModel routing, caching, batch & streaming

Expertise

Core capabilities we deliver end‑to‑end, with pragmatic architecture and clear operational ownership.

Customer‑facing multimodal RAG

Retrieval, reranking, grounding, and citations across documents + images + tables. Optimized for latency and answer faithfulness.

Vector + hybrid search Document parsing Rerankers Safety guardrails

Staff training systems

AI‑assisted training content, knowledge checks, and role‑based learning paths. Measurable improvement with feedback loops.

Content generation Quizzes & rubrics Analytics Policy alignment

Multi‑LLM interactions

Model routing and orchestration for quality/cost tradeoffs—tool use, structured outputs, and deterministic workflows.

Routing Fallbacks JSON schemas Prompt templates

Delivery model

A simple, repeatable approach that reduces risk and accelerates time‑to‑value.

Discovery + success metrics

Define target workflows, stakeholders, compliance constraints, and measurable outcomes (accuracy/latency/cost).

Prototype → eval harness

Build a thin slice, then formalize evals (gold sets, regression tests, hallucination checks) to prevent drift.

Production hardening

Security, data access boundaries, caching, load testing, incident playbooks, and release pipelines.

Launch + optimization

Observe real usage, tune retrieval/rerank/prompting, and continuously reduce cost with routing & batching.

Production‑ready by default

We design for operational excellence: observability, repeatability, and cost‑scaling.

Observability

End‑to‑end tracing across retrieval → rerank → inference → guardrails → post‑processing, with dashboards and alerts.

TracingMetricsLogsQuality KPIs

Repeatability

Versioned datasets, prompts, indices, and models—so results can be reproduced and audited.

LineageEval regressionRelease gates

Cost‑scaling

Quality‑aware routing, caching, and token budgets that scale with usage without surprise bills.

RoutingCachingBatchingBudgets

Brand palette

Primary sage tones used throughout the UI. Swap these variables to match the exact logo hues.

Sage 50
#eff4ec
Sage 100
#dde8d8
Sage 200
#c3d6b9
Primary
#89af76
Accent
#60864d
Ink 2
#1a2414

Contact

Tell us what you want to build. We’ll respond with clarifying questions and a short delivery plan.

Fastest path

Email us with your domain, target users, and data sources. If you have constraints (air‑gapped, PII, HIPAA, SOC2), include them.

Multimodal RAG Training systems Multi‑LLM orchestration Observability

What to include

A useful inquiry answers these four questions:

  1. Workflow: what users do today vs desired future state
  2. Knowledge: what sources must be grounded (docs, images, DBs)
  3. Quality: acceptance criteria (accuracy, citations, latency)
  4. Ops: security/compliance, deployment constraints, budget
PoC → Production Evals + Regression SLOs + Alerts