Services

Retrieval-Augmented Generation (RAG)

Context-aware AI assistants that adapt to your enterprise knowledge.

Neuravolve designs retrieval systems that combine structured reasoning with deep semantic understanding—enabling your organization's AI to deliver precise, verifiable, and context-rich responses across documents, CRMs, catalogs, and knowledge bases.

Our hybrid retrieval approach allows the model to not only recognize meaning but also understand relationships across information, ensuring every response reflects your organization's true context.

Our capabilities include:

• Intelligent data ingestion — parsing, deduplication, and adaptive chunking strategies to optimize relevance.
• Context-aware retrieval — multi-dimensional search that unifies meaning and structure for grounded, accurate answers.
• Domain-specific tuning — embedding models calibrated to your language, terminology, and use cases.
• Meta-prompt generation — automated Q&A and instruction design derived from your internal knowledge.
• Precision ranking — advanced scoring and citation extraction for transparency and traceability.
• Evaluation and governance — continuous monitoring of grounding, coverage, safety, and performance.

Neuravolve's RAG solutions ensure every answer your users receive is informed by your organization's unique data fabric—combining breadth of knowledge with depth of context.

Agentic AI Solutions

Operational intelligence powered by orchestrated, auditable agents.

Neuravolve builds multi-step, tool-using AI agents that execute complex workflows across your data, systems, and business processes—while maintaining full control, transparency, and compliance. Our approach balances autonomy with accountability through built-in guardrails, validation layers, and human-in-the-loop oversight.

Core capabilities include:

• Adaptive task planning — dynamic orchestration of tools, APIs, search, CRM, and document systems to perform multi-stage reasoning and execution.
• Structured, governed outputs — schema-validated results with escalation paths, approvals, and automated retries under defined SLAs.
• Operational integration — batch and streaming pipelines designed for enterprise throughput, observability, and fault tolerance.
• Security & compliance — encrypted credentials, role-based access, and audit trails that meet enterprise governance standards.

Agent Evaluations (Evals)

Reliability is designed, not assumed. Each agent is continuously evaluated against explicit success and safety criteria to ensure consistent performance under real-world conditions.

• Outcome-driven metrics — precision, recall, latency, and cost-efficiency benchmarks.
• Safety and consistency testing — red-team scenarios, policy alignment, and prompt robustness checks.
• Feedback loops — real-time monitoring, error tracing, and retraining triggers.
• Performance dashboards — cost and latency analytics with configurable SLAs and alerting.

Through Neuravolve's eval framework, agent performance becomes measurable, improvable, and accountable—so every automated decision can be trusted.

Model Building & MLOps

Production-grade machine learning models built for performance, reliability, and scale.

Neuravolve develops and operationalizes custom machine learning models that integrate directly with your enterprise stack. From data pipelines to continuous deployment and monitoring, we ensure every model is optimized for real-world use—measurable, governable, and production-ready.

Core capabilities include:

• Model design & training — supervised, unsupervised, and reinforcement learning models tailored to your domain, data, and objectives.
• Feature engineering & embeddings — optimized data representations and metadata strategies that enhance downstream accuracy and retrieval.
• Continuous evaluation & experimentation — offline and online model testing, A/B experimentation, and shadow deployments to validate performance before release.
• Performance optimization — latency, throughput, and cost management for scalable production environments.
• MLOps integration — CI/CD pipelines with automated retraining, rollback, and monitoring.
• Governance & compliance — PII-safe data handling, role-based access, lineage tracking, and audit-ready observability.

Neuravolve's MLOps framework bridges experimentation and execution—ensuring your machine learning models deliver consistent value from prototype to production.

Software & Web Solutions

Custom digital platforms engineered for performance, scalability, and intelligence.

Neuravolve designs and builds enterprise-grade software and web applications that seamlessly integrate with your data, systems, and AI infrastructure. From concept to deployment, we combine modern development practices with deep technical rigor to create solutions that are secure, performant, and future-ready.

Core capabilities include:

• End-to-end product development — full lifecycle delivery from architecture and UX to deployment and maintenance.
• Modern web frameworks — responsive, high-performance applications built using Next.js, Node.js, Python, and cloud-native architectures.
• AI integration — embedding intelligent search, agentic workflows, and data-driven personalization directly into your applications.
• DevOps & CI/CD — automated builds, testing, and deployments with observability and rollback controls.
• Data connectivity — secure integration with CRMs, data warehouses, and APIs to power real-time analytics and decisioning.
• Governance & security — enterprise authentication, role-based access, and audit-ready logging to ensure compliance and reliability.

Neuravolve's software solutions are built not just to run — but to adapt, learn, and evolve alongside your business.