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Transformative AI Solutions for Your Business

Our Generative AI offering is end-to-end — combining strategy, engineering, and enterprise-grade controls.

GAI Consulting

Readiness assessment, opportunity prioritization, governance, and ROI mapping.

GAI Consulting

GAI Development

Custom LLM fine-tuning, multimodal model development (text, image, audio, video), and prompt engineering.

GAI Development

Copilot & Workspace Builders

Employee and customer copilots embedded into CRMs, ERPs, and knowledge bases.

Copilot & Workspace Builders

Content & Automation Engines

Scalable content generation for marketing, product descriptions, personalized communications, and code generation.

Content & Automation Engines

GAIaaS (GenAI as a Service)

Hosted, secure model endpoints and APIs for rapid integration and consumption.

GAIaaS (GenAI as a Service)

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Our GAI Process: From Strategy to Scalable Solutions

A structured approach guiding every AI initiative from strategy and data to model deployment, integration, and continuous optimization, interlinked with specialized ZYNO Tech services for deeper exploration.

  • 1756540023 Readiness & Discovery

    Readiness & Discovery

  • 1756540023 Strategy & Roadmap

    Strategy & Roadmap

  • 1756540023 Model & Data Setup

    Model & Data Setup

  • 1756540023 Prototype & Validation

    Prototype & Validation

  • 1756540023 Integration & Deployment

    Integration & Deployment

  • 1756540023 Governance & Continuous Optimization

    Governance & Continuous Optimization

  • 1756540023 Domain-Specific Enhancements

    Domain-Specific Enhancements

Readiness & Discovery

We start with workshops to understand business goals, workflows, and data maturity. This step uncovers the highest-impact AI opportunities with measurable business value.

  • Stakeholder workshops, data maturity audit, and KPI definition.
  • Assess culture, adaptability, and adoption barriers to align AI with people and processes.
  • Identify and rank AI use cases based on ROI, feasibility, and strategic alignment.
  • Deliverable: Opportunity scorecard and prioritized use-case backlog.
    • 1756540023 Readiness & Discovery

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    Integration Tools / Tech Stack

    We design with enterprise security, scale, and flexibility in mind. Typical stack elements we deploy.

    68b2c3d63dd6a DataInfrastructure
    68b2c3d655443 Deployment&Ops
    68b2c3d66291e Edge On-PremOptions
    68b2c3d66e525 Fine-tuning&Training
    68b2c3d67b0f4 FoundationModels&APIs
    68b2c3d68a223 LLMOrchestration&RAG
    68b2c3d696086 Monitoring&Observability
    68b2c3d6a2257 Security&Compliance
    68b2c3d6aec2a VectorDatabases

    What Makes ZYNO Tech Different

    We move beyond generic experiments to deliver consistent, measurable outcomes for enterprises.

    • Business-first GAI

      Every model is linked to KPIs to ensure measurable value, not stalled proofs-of-concept.

    • Comprehensive GAI Delivery

      From strategy and data to models, integration, governance, and continuous operations, all managed by a single accountable team.

    • Responsible & Secure by Design

      Bias mitigation, human-in-the-loop controls, and enterprise-grade security compliance.

    • Cross-industry Experience

      Proven GAI deployments across retail, finance, healthcare, logistics, and manufacturing.

    Frequently Asked Questions (FAQs)

    Start with a narrow, high-frequency use case (e.g., customer reply drafting, product description generation, or internal knowledge retrieval). Build an MVP that measures concrete KPIs (time saved, accuracy, CSAT delta) and iterate.

    Both. We can leverage third-party APIs for speed (OpenAI, Anthropic, Gemini) or host fine-tuned/private models for data-sensitive workloads or cost optimization. We advise a hybrid approach when sensible.

    We combine retrieval-augmented generation (RAG), strict prompt engineering, provenance tagging, answer verification steps, and post-generation fact-checking pipelines to reduce hallucinations materially.

    Data encryption in transit and at rest, role-based access, audit logging, SOC/GDPR/HIPAA guardrails where required, and private-hosted inference for sensitive data.

    We optimize via hybrid inference (mix of smaller task-specific models + LLM for complex prompts), token-level optimizations, caching, and batching; and implement cost monitoring with budget alerts and model selection guidelines.