From strategy to production—RAG, AI agents, and LLM apps built with security, evaluation, and cost control in mind.
Generative AI Solutions that turn your data into a competitive advantage. InnovariaTech delivers end‑to‑end generative AI development services—from strategy and prototyping to production rollout—so you can launch reliable, secure, and cost‑controlled AI experiences.
RAG knowledge bases for internal search and customer support
AI agents that execute workflows (tickets, reporting, onboarding, ops)
LLM apps and copilots for sales, finance, HR, and product teams
We design and ship production-ready experiences—not just demos. Whether you need a customer-facing assistant or an internal copilot, we build systems that are measurable, maintainable, and secure.
Answer questions using your docs, policies, tickets, and knowledge base
For websites, mobile apps, and support platforms
Automating multi-step tasks (approve, verify, summarize, update systems)
Domain-specific reasoning, drafting, and structured output (JSON/SQL/actions)
Embeds directly into your product UI and internal dashboards
Quality, safety, latency, cost monitoring + dashboards
Deflect tickets with RAG answers, escalate complex issues with summaries, and maintain brand tone across channels.
Auto-generate tailored outreach, proposals, and meeting briefs from CRM + product docs.
Agents that prepare reports, validate documents, and trigger workflows across tools.
Policy Q&A with citations, PII redaction, and audit-friendly logging.
Copilots for triage, release notes, test case generation, and doc automation.
Generate campaign copy, social posts, SEO content, and personalized messaging at scale.
Most GenAI projects fail because they skip the basics: data readiness, evaluation, security, and cost controls. Our approach makes generative AI measurable from day one.
We map use cases to business KPIs, define guardrails, and select the right architecture (RAG, fine-tuning, agents).
We build a working MVP with a small dataset and an evaluation loop so you can see quality early.
We harden the solution with observability, caching, retries, prompt injection defenses, and access controls.
We deploy in your preferred cloud, set up monitoring (quality, cost, latency), and iterate using real user feedback.
OpenAI, Anthropic, Llama-family, Mistral (selected based on cost, latency, privacy, and quality)
LangChain, LlamaIndex, custom pipelines
Pinecone, Weaviate, Elasticsearch, Postgres + pgvector
Azure, AWS, GCP (including data residency considerations for EU/Gulf)
Next.js / MERN, mobile apps, and API-first microservices
Document ingestion, RAG pipelines, embeddings, knowledge graphs
Enterprise generative AI must be safe by design. We implement least‑privilege access, encrypted storage, and audit-friendly logs.
For regulated industries, we support GDPR-aligned data handling and privacy-by-design patterns like PII masking, role-based access, and retention policies.
Role-based access controls and encrypted storage
Comprehensive tracking for sensitive actions
Privacy-by-design patterns for regulated industries
Data minimization and retention policies
Secure tool execution and content filtering
Where needed for critical decisions
Scope, architecture, data audit, KPI + evaluation plan.
First production-grade RAG/agent prototype with monitoring.
Improved retrieval, eval automation, cost reduction, and new workflows.
Talk to InnovariaTech about Generative AI Solutions for your product or internal teams. We'll recommend a practical architecture (RAG, agents, or fine-tuning), define success metrics, and map a realistic timeline.
No commitment required • Expert guidance • Free consultation