Syntera Labs: Your On-Demand GenAI Partner.

We help forward-thinking finance, banking, technology, and creative organizations worldwide adopt, optimize, and scale Generative AI solutions—from strategy to production.

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Who We Are / Why It Matters

Syntera Labs specializes in bridging the gap between AI potential and real-world impact. Whether you’re new to Generative AI or already experimenting with large language models (LLMs), we provide the strategic insight and technical expertise to ensure your AI initiatives deliver measurable results.

  • Accelerate Innovation: Streamline your AI experimentation and get to market faster.
  • Reduce Risk: Avoid pitfalls with proven best practices in prompt engineering, model evaluation, and compliance.
  • Drive ROI: Identify and implement AI opportunities that deliver tangible process improvements.

Services & Offerings

AI Readiness & Workflow Evaluation

What It Is: A short strategic assessment to identify the highest-impact GenAI opportunities in your workflows or products.

Typical Timeline (Estimate): ~2–3 weeks.

Outcomes: AI Readiness Scorecard, prioritized roadmap, and clear next steps for implementation.

Open-Source LLM Deployment

What It Is: Secure installation and configuration of open-source LLMs (e.g., Llama) on-premises or in a private cloud (AWS Bedrock).

Typical Timeline (Estimate): ~4–8 weeks.

Outcomes: Compliant, custom-tuned LLM environment with detailed performance metrics and operations manual.

Vector Database Setup & Integration

What It Is: Implementation of a vector database (e.g., Pinecone, Milvus, Weaviate) for high-speed AI retrieval.

Typical Timeline (Estimate): ~3–6 weeks.

Outcomes: Production-ready vector DB, performance benchmarks, and best-practice documentation.

Retrieval-Augmented Generation (RAG) Systems

What It Is: A complete RAG pipeline that ingests internal documents, minimizing hallucinations and ensuring domain-specific accuracy.

Typical Timeline (Estimate): ~4–8 weeks.

Outcomes: Working RAG PoC or production system, plus data ingestion strategy and testing for factual consistency.

AI Evaluation & Benchmarking

What It Is: Measuring LLM output quality, benchmarking different models, and detecting hallucinations.

Typical Timeline (Estimate): ~4–6 weeks.

Outcomes: Automated evaluation scripts, model comparison reports, recommendations for prompt optimization or fine-tuning.

Ongoing “GenAI Brain” Retainer

What It Is: Monthly subscription for continuous AI leadership, prompt optimization, and strategic guidance—acting as a fractional “Head of AI.”

Engagement Length: Month-to-month or multi-month.

Outcomes: Regular consultative calls, prompt/model refinements, performance tuning, and Slack/Email support.

How We Work

  • Phased Engagements: We start with a focused pilot or evaluation to showcase quick wins and a clear ROI path.
  • Collaborative Process: Our AI engineers integrate seamlessly with your existing tech teams.
  • Flexible Retainers: For ongoing AI improvements, we offer monthly retainers—perfect if you need a fractional AI lead.

Client & Industry Focus

We serve forward-thinking organizations worldwide, particularly in finance, banking, and tech—especially those looking for secure, compliant, and scalable AI solutions. Our experience includes integrating AI in high-regulation environments and fast-paced product teams around the globe.

Ready to Explore GenAI?

Let’s set up a call to discuss your goals and outline the possibilities.

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