What is Top AI Solutions & Development Services | Empiryx?

Top AI Solutions & Development Services | Empiryx offers AI development, integration, scaling, DevOps, data engineering, and case study guides across 85 pages.

Can RAG answer from our private data securely?

Yes. Per-tenant isolation, attribute-based access control, and redaction at ingest time mean users see only what they're allowed to — even if the index holds more.

How do you keep answers current?

Incremental ingest pipelines detect changes in source systems and update the index in near-real time. Stale answers are a config problem, not a 'retrain the model' problem.

What about accuracy on complex questions?

We use query rewriting (decomposition, HyDE, multi-query), hybrid retrieval, and cross-encoder reranking. For high-stakes use cases we add answer-faithfulness evals and confidence scoring.

Do you support multimodal documents (PDFs, tables, images)?

Yes — we handle structured extraction from PDFs, preserve table layout, and use vision models where needed so retrieval sees the document as your users do.

How is this different from just calling an LLM with our docs?

Naïve RAG often hallucinates or cites the wrong chunk. We build retrieval, reranking, evaluation, and observability as first-class systems — the difference shows up the first time a user asks a tricky question.

AI Services / Retrieval-Augmented Generation

Answers grounded in your actual data — not the model's training set

We build retrieval-augmented generation (RAG) pipelines that reason over your documents, knowledge bases, and live systems. Correct answers, traceable citations, and zero 'the model made it up' moments — operated end-to-end so your team can focus on the questions, not the pipeline.

Explore AI Engineering

10M+

Documents indexed

94%

Citation accuracy

<800ms

Retrieval latency

99.9%

Pipeline uptime

Why Empiryx

Why our RAG pipelines ship faster

Hybrid retrieval — vector + BM25 + rerankers — chosen per query, not per default

Chunking strategies that respect document structure (tables, headings, code blocks)

Citations and source attribution on every answer — auditable by design

Query understanding layer that rewrites ambiguous prompts before retrieval

Incremental ingest pipelines so fresh documents surface in seconds, not overnight

Per-tenant isolation with access-control-aware retrieval out of the box

Expertise

What we build

Knowledge base chat

Chat over your docs, policies, code, tickets — grounded, cited, and gated by who's asking.

Enterprise search

Semantic + keyword search across SharePoint, Drive, Notion, Confluence, and internal tools.

Agent memory

Long-term memory layers that give agents durable context across sessions.

Live-data RAG

RAG grounded in APIs and databases, not just static corpus — answers stay current.

Expertise

Roles & capabilities we specialise in

A deeper look at the specialists we place and the work they ship.

Embeddings & vector stores

PGVector, Pinecone, Weaviate, Qdrant — picked for scale, cost, and ops fit.

Reranking

Cross-encoder rerankers that lift precision on the top-K without blowing latency.

Eval & monitoring

Retrieval metrics (Recall@k, MRR) plus answer-faithfulness evals on every release.

Ingest & sync

Connector-driven ingest with change detection — incremental, idempotent, observable.

Query rewriting

Decomposition, HyDE, and multi-query fusion for ambiguous or compound questions.

Security

Per-tenant tenancy, row-level filters, redaction, and audit trails baked in.

Industries we serve

Built for high-stakes sectors

Domain-aware engineers who understand your sector's constraints — not just the syntax.

Legal

Cited answers over case law

Healthcare

Clinical knowledge grounded in approved sources

Support

Agent assist over tickets and docs

Internal Ops

Ask-your-company search

FAQ

Answers to common questions

Process

How it works

Audit & data mapping

We map your source systems, access patterns, and the top question types that matter.

Ingest + retrieval MVP

We ship chunking, embed, retrieve, and answer-grounded chat with citations in 2–4 weeks.

Eval & guardrails

We add retrieval metrics, faithfulness evals, and per-tenant access control before launch.

Operate & extend

We sync live data, add sources, and keep the pipeline monitored and improving.

Get started

Answers your users can trust

Bring your data — we'll bring the pipeline, the citations, and the ops.

Talk to an Expert

Explore more

Hire AI Developers in India

Pre-vetted ML, NLP, LLM & CV engineers. Onboard in 7–10 days.

Offshore Development Team India

Dedicated offshore engineering team embedded in your workflows.

ODC & GCC Setup India

Start with an ODC. Evolve into a fully owned GCC as you scale.

Hire Machine Learning Engineers

ML Engineers, Data Scientists, NLP & MLOps specialists in India.

Build Engineering Team in India

Full-team formation — frontend, backend, AI/ML, DevOps, and leads.

AI Automation

n8n, Zapier & custom workflows that run your business on autopilot.

AI Engineering

RAG, fine-tuning, and AI agents built for production, not demos.

MLOps

Model serving, monitoring, and CI/CD for machine learning systems.

DevOps

CI/CD, infrastructure as code, and observability that scales.

Application Scaling

Performance audits and fixes that take your MVP to production-ready.

Database & Data Engineering

Database design, pipelines, and migrations built to last.