At NetFire, AI isn’t just a buzzword—it’s a core engineering discipline. Our team builds AI systems that are secure, scalable, and purpose-driven. From designing LLM-integrated applications to embedding AI capabilities directly into data infrastructure, we help organizations turn advanced machine learning into real-world value.

Whether you're looking to automate workflows, build intelligent chat interfaces, generate new revenue from existing data, or ensure AI compliance in the EU—NetFire delivers end-to-end expertise. We don’t just implement models; we engineer full-stack solutions that align with your business strategy and regulatory needs.

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Our core capabilities include:

• AI System Development

  Design and deployment of full-stack AI systems built for real-world reliability, security, and scale. This includes:

  • LLM Safety & Guardrails

    Implementation of advanced safeguards to mitigate risks in large language model (LLM) usage—such as jailbreak prevention, prompt injection resistance, and misuse detection. These guardrails are essential for deploying LLMs in regulated, sensitive, or mission-critical environments.

  • AI-Integrated Databases

    In-house developed proprietary PostgreSQL machine image that brings AI capabilities directly into the database layer. This image includes curated and tightly integrated extensions like pgvector, pgvectorscale, pgml, and pgai, enabling in-database inference, vector search, model management, and retrieval-augmented generation (RAG) pipelines. No other offering in the market matches this level of native AI/database integration.

  • Production-Ready Architecture

    System designs emphasize observability, failover safety, low-latency response times, and seamless deployment across cloud and on-prem environments.

• Conversational AI

  Development of intelligent chatbots and virtual assistants to improve customer engagement and automate internal workflows.

  • Multi-Agent Conversational Architecture

    Includes access to a proprietary chatbot platform built with a modular, multi-agent architecture. Each conversational agent is specialized for specific tasks—ranging from customer support and onboarding to data retrieval and transactional operations. The system can dynamically route and delegate conversations to the most relevant agent, enabling richer, more context-aware assistance across a variety of use cases.

  • Custom Task Workflows

    Supports integration with enterprise systems (CRMs, knowledge bases, ticketing tools, databases) to automate multi-step tasks and adapt responses based on user role, intent, or context.

  • Fine-Tuned for Brand Voice & Tone

    Enables alignment with organizational tone, compliance guidelines, and domain-specific vocabulary to deliver a consistent customer experience.

• Data Science & Modeling

  Application of statistical methods, machine learning, and advanced modeling to support decision-making and predictive insights.

• AI Opportunity Mapping

  Identification of high-impact use cases where AI can drive efficiency, reduce costs, or unlock competitive advantage.

• Revenue Stream Ideation

  Exploration of how existing data and products can be repurposed with AI to enable entirely new features, services, or business lines.

• Workforce Enablement & Productivity

  Guidance on AI-driven productivity tools, forecasting frameworks, and methods for tracking ROI from internal adoption.

• Regulatory Alignment (GDPR & EU AI Act)

  Support in adapting or validating AI systems for compliance with European regulatory requirements, enabling smooth market entry.

• Data Audits & AI Readiness Assessments

  Comprehensive reviews of data assets to assess quality, structure, and readiness for AI applications.

• Training Programs

  Presentations and content designed to accelerate AI knowledge transfer within organizations. Includes team-wide materials prepared by experienced practitioners.