AI Strategy & Discovery
We help you identify high-impact AI opportunities, assess feasibility, and create an actionable roadmap.
- Use-case discovery and prioritization
- Feasibility and ROI assessment
- Data readiness and risk considerations
- Executive enablement and buy-in
Custom AI Tools & Agents
Design and deliver LLM applications, RAG systems, and agentic workflows tailored to your processes.
- RAG architectures, retrieval, and vector search
- Task-specific tools and multi-agent orchestration
- Guardrails, evals, and prompt engineering
- Integrations with your stack and data
Modeling & Fine-tuning
From model selection to domain adaptation, evaluation, and safety for production use-cases.
- Open-weight and API model selection
- Domain fine-tuning, adapters, and LoRA
- Evaluation: quality, safety, and robustness
- Latency and cost trade-off optimization
MLOps & Platform
Operationalize AI with pipelines, monitoring, feedback loops, and governance.
- Data pipelines, feature stores, and storage
- Observability, tracing, and feedback collection
- Continuous evaluation and model governance
- Security, privacy, and compliance alignment
Data Analytics
Turn raw data into decisions with modern BI, metrics, and experimentation.
- Metrics design and KPI taxonomy
- Dashboards & self-serve BI
- Experimentation & A/B testing
- Data governance & quality
Big Data Engineering
Design scalable data platforms and pipelines built for reliability and cost efficiency.
- Batch/stream processing (Spark, Flink)
- Lakehouse architectures (Delta/Iceberg)
- Cloud data warehousing
- Orchestration & scheduling
LLM-based Data Analytics
Natural-language analytics over your data with retrieval and governance.
- Semantic search & RAG over warehouses/lakes
- Text-to-SQL & NL interfaces for BI
- Evaluation, guardrails, and lineage tracking
- Access control and privacy by design
Book a free 30-minute consultation to explore your AI opportunities and find the best approach for your team.
Talk to us