AI Solutions & Consulting

From opportunity to production-grade AI

We assess where AI creates real value, then build it — assistants, document intelligence, RAG knowledge bases, and workflow automation tailored to your data and your security requirements.

Our approach

We start with your problem, not our toolkit

We match each need to the simplest, lowest-cost approach that solves it — then scale up only when the value justifies it.
01

Prompt Engineering + Frontier APIs

Live in days

Fast intelligence on top of the best hosted models — the simplest path when it already solves the problem.

02

RAG — private knowledge

1–3 weeks

Grounded answers from your own documents and data, with citations and access control.

03

Agentic AI

2–6 weeks

Systems that plan, act, and automate multi-step workflows across your tools and data.

04

Custom fine-tuning

3–8 weeks

A specialized model you own — for accuracy, latency, cost, or privacy the base models can't reach.

What we deliver

AI capabilities, built for production

Eight focused capabilities — from strategy and generative AI to vision, speech, and the governance that keeps it all safe and accountable.

AI Strategy & Advisory

Find where AI pays off and de-risk the path there before you invest in a build.

  • Opportunity assessments & roadmaps
  • Proof-of-value sprints
  • AI readiness & cost-optimization audits
  • Executive briefings & enablement

Generative AI & LLM Solutions

Private assistants, search, and document intelligence grounded in your own knowledge.

  • Private knowledge assistants (RAG)
  • Semantic search with citations
  • Document intelligence / IDP (PDFs, invoices, contracts)
  • Content generation, summarization, fine-tuning, on-prem LLMs

Conversational AI & Agents

Chatbots, copilots, and autonomous agents wired into the systems you already run.

  • Branded customer chatbots & voice agents
  • Internal copilots (HR / IT / sales / legal)
  • Autonomous multi-agent workflows
  • CRM / ERP / ticketing integration, human-in-the-loop

Data Science, ML & Predictive Analytics

Forecasts, recommendations, and detection models that drive real decisions.

  • Forecasting (demand / churn / revenue / risk)
  • Recommendation & personalization engines
  • Fraud & anomaly detection
  • Optimization (pricing / routing / scheduling), A/B & causal inference

Computer Vision & Multimodal AI

See, read, and inspect — from the document to the production line to the edge.

  • Object detection, OCR & document vision
  • Visual inspection & defect detection
  • Video analytics & medical imaging support
  • Multimodal and edge / on-device vision

Speech, Voice & Audio AI

Turn audio into searchable, actionable, compliant intelligence.

  • Transcription & text-to-speech
  • Voice assistants & IVR
  • Speaker ID & audio intelligence (sentiment / intent / compliance)
  • Real-time translation & captioning

Data Engineering & MLOps / LLMOps

The pipelines, serving, and governance that keep AI accurate and affordable in production.

  • Data pipelines / ETL & vector databases
  • Training, deployment & serving, CI/CD for ML
  • Monitoring, drift detection & automated evaluation
  • Prompt management, cost governance, cloud / hybrid / on-prem

AI Governance, Security & Responsible AI

Ship AI you can defend — compliant, explainable, and safe by design.

  • Governance frameworks & compliance (EU AI Act, GDPR, HIPAA, SOC 2)
  • Bias & fairness audits, explainability
  • AI red-teaming & PII protection
  • Guardrails & content moderation

Have an AI use case that isn't on this list? Some of our best projects started as a problem someone wasn't sure AI could solve. Bring yours — we'll map the approach. Describe your use case →

The AI & data stack

Best-in-class models on solid data foundations

Vendor-neutral by design — the right model and the right pipeline for the job, across AI, RAG, MLOps, and the data engineering underneath it.

AI & Machine Learning

OpenAIAnthropic ClaudeGoogle GeminiLlamaMistralPyTorchTensorFlowHugging FaceLangChainvLLM + more

RAG & Vector Search

QdrantPineconeWeaviateChromaFAISSpgvectorElasticsearch + more

MLOps / LLMOps

MLflowLangfuseWeights & BiasesKubeflowVision: OpenCV, YOLOSpeech: Whisper + more

Data Engineering

Apache Spark / PySparkKafkaAirflowdbtSnowflakeBigQueryDatabricks + more

Don't see your stack? We probably work with it anyway. What's here is what we reach for most — we adapt to the tools and clouds you already run. Tell us what you use →

Why our AI is different

We ship production AI — not slideware

The differences that show up in your results, not just the pitch.

Production-ready, not just demos

We design, build, deploy, secure, and operate. You get systems that run in production — not prototypes that stall after the pitch.

Provably accurate

We measure quality with real evaluation frameworks and metrics — so accuracy is something we prove, not just claim.

Vendor-neutral

We work across every major model provider and open source. The right model for the job — no lock-in.

Cost-optimized

Smart model routing and caching typically cut AI spend 4–10× without sacrificing quality.

Privacy-ready

On-premise and local deployment options for regulated, sensitive, or air-gapped data.

End-to-end

Strategy → data → build → deploy → operate. One accountable partner across the whole lifecycle.

Put AI to work on a real problem

Ready to turn AI into production outcomes?

Bring us a use case — a knowledge assistant, an agent, a model — and we'll map the fastest, lowest-risk path from data to a system that runs in production.