Services
From Strategy to Production
We cover every phase of your AI journey. A proven process, clear deliverables, and no surprises.
Discover
Timeline: 1–2 weeks
We immerse ourselves in your business — your data, workflows, pain points, and goals. We identify where AI creates the most impact and build a prioritized opportunity map.
Deliverables
- AI readiness assessment
- Data landscape audit
- Opportunity prioritization matrix
- Executive summary & recommendation
Design
Timeline: 2–3 weeks
We architect the solution end-to-end. Model selection, infrastructure design, security requirements, integration points, and a detailed implementation roadmap.
Deliverables
- Solution architecture document
- Model selection & evaluation
- Infrastructure blueprint
- Implementation roadmap with milestones
Build
Timeline: 4–8 weeks
Custom AI solutions built to production standards. We write clean, tested, documented code that integrates with your existing systems and meets your security requirements.
Deliverables
- Production-grade AI models
- API integrations
- Custom data pipelines
- Comprehensive test suite
Deploy
Timeline: 1–2 weeks
We deploy on your infrastructure with full security hardening. Your data stays under your control, your models run in your environment, your compliance requirements are met.
Deliverables
- Production deployment
- Security hardening & audit
- Monitoring & alerting setup
- Runbook & documentation
Optimize
Timeline: Ongoing
AI systems improve over time — when managed correctly. We continuously monitor performance, retrain models, and refine outputs to keep your system at peak.
Deliverables
- Performance monitoring dashboard
- Regular model evaluation
- Drift detection & retraining
- Quarterly business review
Capabilities
What We Build
Specific technical capabilities we bring to every engagement.
LLM Deployment
Deploy large language models on your infrastructure. GPT, Llama, Mistral — model-agnostic.
RAG Systems
Retrieval-augmented generation pipelines that ground AI responses in your proprietary data.
Fine-Tuning
Custom model training on your domain data for superior accuracy and relevance.
Data Pipelines
End-to-end ETL and feature engineering for clean, reliable AI-ready data.
Process Automation
Intelligent automation that handles complex workflows, not just simple rules.
Computer Vision
Image and video analysis systems for quality control, monitoring, and classification.
Sovereign Infrastructure
On-premise and private cloud AI deployments with zero data leakage guarantees.
Compliance & Governance
AI governance frameworks, audit trails, and regulatory compliance (GDPR, HIPAA, SOC 2).