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Applied AI · Since 2018

Enterprise AI, grounded in your data.

We build production-grade AI agents, RAG and knowledge systems, and the software around them, so your teams get answers they can trust, cited to your own source of truth. Not a demo that breaks on the second request.

AI Agents  ·  RAG & Knowledge Systems  ·  LLM Apps  ·  Software Engineering

Our partners, the platforms & models we build on

Microsoft logoAWS logoOpenAI logoHugging Face logoDatabricks logoCursor logoAtlassian logoMarvis logoMicrosoft logoAWS logoOpenAI logoHugging Face logoDatabricks logoCursor logoAtlassian logoMarvis logo
Our founding craft

RAG turns a clever model into a system you can trust.

A raw language model guesses from what it memorised. Retrieval-Augmented Generation connects it to your knowledge (your documents, databases, and wikis), so it answers from the facts that matter to your business, with citations you can verify. That's the difference between an impressive demo and a system your teams rely on.

  • Answers grounded in your documents, not the model's training data
  • Every response traceable to a source, with confidence and provenance
  • Evals that measure faithfulness and relevance, and keep them high
  • Secure, role-aware retrieval built for regulated data
See how we build RAG systems
What’s our refund policy for EU customers?
Grounded answer

EU orders qualify for a full refund within 30 days of delivery, provided the item is unused. Refunds are issued to the original payment method within 5 business days.

refund-policy-v4.pdf · p.12
Answered from your documents Source cited No hallucination
How we work

From use case to production, de-risked at every step.

We start with a scoped proof of concept on real data, so you validate impact before committing to a full build.

Discover

We map your data, workflows, and the use cases with the highest ROI, then scope a plan with clear success metrics.

Architect

A technical blueprint: the right models, retrieval strategy, guardrails, and integration points for production.

Build

Rapid, iterative delivery with working demos, evals, and your feedback baked into every cycle.

Deploy & Evolve

We ship to production, monitor quality with evals and tracing, and keep improving as your data grows.

Why Ragverse

Built by people who ship AI for a living.

RAG-first, by origin

We’ve specialized in retrieval since 2018. Grounded systems are our craft, not a side offering.

Enterprise-grade security

ISO 27001-aligned practices, role-aware access, and data handling built for regulated industries.

Production, not prototypes

Evals, tracing, and guardrails so systems hold up under real traffic, with measurable outcomes.

One team, full stack

AI, software, and infrastructure under one roof. No handoffs between the model and the product.

By the numbers

Eight years of shipping applied AI.

39Products & projects shipped
20Clients served
8Years in business
6Practice areas
In our clients' words

Trusted by founders and teams who’ve shipped with us.

★★★★★
Ragverse designed, built, and shipped our platform end to end, and the flow of new customers grew noticeably once it went live. Communication was constant, with clear progress updates the whole way. A hardworking, prompt, and genuinely collaborative team.
John T.Product Manager, Abbi AI Clutch
★★★★★
We’ve run several projects with Ragverse now and the quality has been consistent every single time. Professional, communicative, and quick to understand exactly what we need. Easily one of the best engineering teams we’ve worked with, we keep coming back.
JosephCo-founder, FTW Legal Upwork
★★★★★
The Ragverse team is exceptional at communication and managing expectations, a reliable partner from kickoff through delivery. Highly recommend working with them.
DhavalCo-founder, Squibler Upwork
Recognized & certified

Credentials you can verify.

Security and standards aren’t a checkbox for us, they’re engineered into how we deliver. Here’s where that shows up.

ISO 27001 certification
  • ISO 27001-alignedSecurity built into delivery, not bolted on
  • RAG-focused since 2018The world’s first RAG-focused services company
  • Model-agnosticClaude, OpenAI & open models on AWS · Azure · GCP
Questions, answered

The things clients ask us first.

RAG connects a language model to your own knowledge, documents, databases, wikis, so it retrieves the relevant facts before it answers. Instead of guessing from training data, the model responds from your source of truth, with citations. That’s what makes enterprise AI accurate, current, and trustworthy enough to deploy.
Yes. For most engagements we start with a scoped proof of concept on a real use case, so you can validate accuracy, latency, and ROI before committing to a production build. It de-risks the investment and gives everyone a shared, measurable target.
That’s the norm, not the exception. We connect to your existing stack, apps, APIs, data warehouses, and document stores, through secure, typed integrations. And because we build the software layer too, we can deliver the interface as well as the intelligence behind it.
We’re model-agnostic. We build on frontier models like Claude and OpenAI as well as open-source models via Hugging Face, and deploy across AWS, Azure, GCP, and Databricks. We choose the right model for your problem, cost, and privacy requirements, not the other way around.
Security is built into delivery, not bolted on. Our practices are aligned to ISO 27001, with role-aware access, private deployments where required, and data handling designed for regulated industries. We’re happy to work within your compliance and infosec requirements.
Let’s build

Turn your data into an unfair advantage.

Book a 30-minute intro call. We’ll pressure-test your use case, sketch an approach, and tell you honestly whether AI is the right tool, no funnel, no hype.