Our Services

AI That Integrates Into How You Already Work

Every engagement starts with your stack, your team, and your constraints. We build around you — not the other way around.

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Our Service Offerings

01

Foundation Model Integration

We connect GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, and Mistral to your internal systems through a unified API gateway with versioned endpoints, cost controls, and automatic model fallback logic. Your teams interact with one stable interface regardless of what's happening upstream with model providers.

  • Unified API gateway with multi-provider routing
  • Per-request model selection based on cost/latency thresholds
  • Zero-downtime fallback if a provider degrades
  • Usage dashboards and cost attribution by team
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02

Enterprise Fine-tuning & RLHF

Generic models don't understand your compliance language, your product catalog, or your customer segments. We fine-tune base models on your proprietary data — with full data residency controls and audit trails — so the model adapts to your domain rather than the other way around.

  • Domain-specific dataset curation and labeling
  • LoRA / QLoRA fine-tuning on GPU infrastructure
  • Human feedback loops for quality alignment
  • Model evaluation benchmarks vs. baseline
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03

AI Strategy & Roadmapping

Before writing a single line of code, we audit your organization's AI readiness — data quality, tooling gaps, team capabilities, and regulatory exposure. We then map out a 12-month phased roadmap prioritized by ROI and feasibility, structured for executive sign-off.

  • AI readiness assessment across 5 dimensions
  • Prioritized use case matrix with effort/value scoring
  • 12-month phased implementation roadmap
  • Board-ready presentation with risk mitigation plans
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04

Data Pipeline Engineering

AI is only as good as the data feeding it. We design and build ingestion pipelines, vector stores, and RAG architectures that keep your models grounded in fresh, accurate enterprise data — from ERP systems to real-time event streams.

  • Automated ETL/ELT pipelines for structured and unstructured data
  • Vector database setup (Pinecone, Weaviate, pgvector)
  • RAG architecture with hybrid retrieval and re-ranking
  • Data freshness monitoring and alerting
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05

Compliance & Responsible AI

Operating in healthcare, finance, or defense? We build governance frameworks, bias audits, and model explainability layers that satisfy your legal and regulatory requirements — without slowing down the product.

  • Model explainability (SHAP, LIME) reporting
  • Bias detection and fairness auditing
  • Data governance and lineage documentation
  • Compliance mapping to GDPR, HIPAA, SOC 2
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06

Deployment & MLOps

From staging to production in days, not months. We containerize, orchestrate, and monitor your AI workloads on Kubernetes — with automated model versioning, drift detection, and rollback policies baked in from day one.

  • Dockerized model serving (FastAPI / TorchServe)
  • Kubernetes orchestration with HPA autoscaling
  • Drift monitoring and automated retraining triggers
  • CI/CD pipelines for model updates
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Ready to Build AI That Actually Works?

Talk to our team. We'll scope your first AI use case in 48 hours.

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