Generative AI
Language and multimodal intelligence for creation, understanding, and reasoning.
Product technology
AI systems engineered for secure, scalable products.
Neuratac combines generative AI, LLMs, agents, OCR, computer vision, RAG, voice AI, machine learning, cloud-native infrastructure, and enterprise APIs to power focused products.
Technology foundation
From models to production infrastructure.
Each layer is designed to turn AI capabilities into dependable product experiences.
Product Model Adaptation
Task-specific adaptation, fine-tuning, evaluation, and integration used where product requirements justify it.
Multimodal AI
Unified intelligence across text, voice, images, video, and documents for richer product experiences.
Model Context Protocol (MCP)
Standards-based connections between AI systems, approved tools, enterprise data, and external services.
LLMs & Foundation Models
Commercial, open-source, and adapted language models selected for reasoning, generation, quality, privacy, and cost.
AI Orchestrators
Coordinate models, prompts, tools, memory, retrieval, guardrails, and business actions across complex AI workflows.
RAG & Semantic Search
Ground product responses in relevant enterprise and product context.
Agentic AI
Enable goal-driven agents to reason, use tools, access data, and complete controlled multi-step actions.
Real-Time AI
Low-latency speech, event, and streaming intelligence pipelines.
Document AI
OCR, extraction, classification, and validated structured output.
Cloud Infrastructure
Scalable product runtimes, managed services, deployment automation, and resilient operations.
Databases & Storage
Relational, NoSQL, vector, cache, object-storage, and retrieval systems.
Cybersecurity
Authentication, access control, encryption, secrets protection, threat testing, and security monitoring.
Model Routing
Select commercial, open-source, or adapted models based on quality, privacy, latency, and cost.
Integration Layer
Connect products to enterprise data, events, cloud services, and business systems.
Observability
Monitor performance, quality, latency, failures, usage, and product operations.
Model strategy
Adaptable where useful. Model-agnostic by design.
Neuratac products can use adapted task-specific models while routing across commercial and open-source foundation models. We do not claim to have trained a proprietary foundation model.
Security & responsible AI
Controls belong inside the architecture.
Contextual grounding, schema validation, monitoring, identity, access control, content safety, risk classification, encryption, and human review protect product and enterprise workflows.
ValidateStructured output and confidence checks
ObserveMonitoring, audit trails, and product telemetry
ProtectAuthentication, encryption, and access boundaries
ReviewHuman oversight for sensitive outcomes