Enterprise RAG Development
From six hours
to seven minutes.
Your documents already hold the answers. Sphere builds RAG systems that surface them instantly — cited, private, and production-ready. Two clients. Proven results.
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Organizations around the world trust us
The cost of a knowledge problem
Your people spend hours finding answers that should take seconds
RAG doesn’t replace your people — it gives them back the time they spend searching. Here’s what that looks like in practice.
US Tax Service advisors spent 6 hours per client engagement searching documents. After Sphere RAG: 7 minutes.
PetroLedger new hires needed 8–12 months to reach full productivity. After Sphere RAG: 3–5 months.
40% of PetroLedger's senior workforce was nearing retirement, taking decades of institutional knowledge with them.
Most enterprises have the answer in a document somewhere. But if it can't be found in seconds, it might as well not exist.
Proven results
Two industries. Transformative outcomes.
Financial services · Onboarding & knowledge retention
A global financial firm saved $1.2M/year — and cut onboarding from 12 months to 5
With 40% of senior staff nearing retirement, PetroLedger faced catastrophic institutional knowledge loss. Sphere built a RAG-powered Digital Twin that converted decades of expertise into an AI system new hires could query in plain English — policies, ERP workflows, compliance guidelines, all cited from verified source documents.
Read the full case study →“We transformed onboarding from a bottleneck into a competitive advantage. New hires reach full productivity in months, not a year.”
— PetroLedger, post-deployment
Professional services · Tax & compliance · Zürich
US Tax Service: document research dropped from 6 hours to 7 minutes
US Tax Service advises American expatriates and corporations across 6 countries on complex cross-border tax obligations. Their advisors lived inside a document retrieval problem — FATCA, FBAR, treaty guidance, cantonal rules — spread across fragmented systems. Sphere built a production-grade enterprise RAG in 5 weeks.
Read the full case study →“Sphere deployed a production-ready RAG pipeline in five weeks. Document retrieval accuracy improved by 66%. Research time dropped from six hours per engagement to under seven minutes.”
— Ian Young, CEO, US Tax Service
| Metric | Before | After Sphere RAG |
|---|---|---|
| Research time | ~6 hrs | Under 7 min |
| Retrieval accuracy | Keyword baseline | +66% |
| Jurisdiction scoping | Manual | Automatic |
| Audit trail | None | Full log |
| Time to production | — | 5 weeks |
Who benefits
Enterprise teams with a knowledge problem
If your people spend hours searching documents that should answer in seconds, RAG is likely the right solution.
Tax, Legal & Compliance Teams
Advisors researching across thousands of cross-jurisdictional documents. The answer exists — finding it takes too long.
US Tax Service: 6 hrs → 7 minOperations & Field Engineering
Engineers troubleshooting from decades of fragmented manuals and ERP logs. RAG unifies them into one instant-answer interface.
30% faster issue resolutionHR & Onboarding Leaders
New hires taking months to become productive. Senior knowledge retiring with the person who holds it. RAG preserves and accelerates both.
PetroLedger: 12 mo → 5 moCustomer Support & Success
Support teams drowning in tickets that could be resolved by AI trained on your actual product documentation — not generic ChatGPT.
~20–30pt self-service increaseHealthcare & Clinical Teams
Clinical protocols and guidelines that need to be at hand during time-critical decisions — not in a PDF folder somewhere.
~50% less time finding guidanceFinancial Services
Investment research, regulatory filings, and client records that need to be cross-referenced in seconds — not in tabs across three systems.
Private · cited · SOC 2 readySimple process
From first call to production in weeks
Free consultation
A 30-minute call with a Sphere RAG architect. We listen to your problem, assess your data, and tell you whether RAG is the right fit.
Scoped proposal
We map your data sources, define retrieval architecture, and deliver a scoped proposal with timeline, stack, and measurable KPIs.
Production deployment
Discovery to production in 5–8 weeks. Your data stays in your cloud. Your team owns the system. No black boxes.
The full 7-step delivery process
Sphere’s Precision-Driven Engineering framework, used across every RAG engagement.
Discovery & Assessment
Understand business context, identify high-value knowledge gaps, define measurable KPIs.
Data Audit & Governance Architecture
Map every source. Define ingestion rules, access controls, sensitivity classifications. Role-based retrieval designed from day one.
Architecture Blueprint
Design retrieval pipeline, vector store, hybrid search strategy, and generation flow specific to your infrastructure and compliance requirements.
Prototype Build & RAG Evaluation
Working RAG with your real data. Benchmarked on retrieval precision, recall, answer faithfulness, and relevancy — before we proceed.
Integration & Security Setup
Connect to your stack. SSO/IdP, RBAC, audit trail, GDPR/HIPAA/SOX alignment — built in, not bolted on.
Training & Handover
Your team manages content; we enable full governance and measurement. You own the system.
Optimization & Scale
Add new data sources, tune prompts, expand to new departments. The same RAG foundation scales across the enterprise.
Is Your Data Ready for Retrieval-Augmented AI?
RAG depends on clean, connected, well-structured knowledge. If your content lives in PDFs, emails, manuals, or legacy systems, the right preparation turns all of it into a powerful retrieval layer. Use our whitepaper to identify gaps in your data landscape and prepare your organization to deploy AI with confidence.
Built for enterprise
Security and compliance from day one
SOC 2 Compliant Delivery
Every RAG system is built to SOC 2 standards. Audit-ready from the first line of architecture.
Full Audit Trail
Every query, retrieval event, and AI-generated response logged in a tamper-evident trail. Required in regulated environments.
Deployed in Your Cloud
AWS, Azure, or GCP. Your data never leaves your infrastructure. No SaaS, no vendor lock-in.
Role-Based Access Control
Advisors only retrieve content within their authorization scope. Client records never surface in cross-user queries.
LLM-Agnostic
OpenAI, Claude, Mistral, Llama 3, Gemini. We work with the model that fits your compliance, privacy, and cost requirements.
Every Answer Cited
Users see exactly which document and section an answer came from. No hallucinations. No "the AI said so."
Your documents already hold the answers.
Let’s make them findable in seconds.
Fill out our contact form and we’ll respond within 1 business day to schedule a free RAG architecture consultation. No obligation — just a frank conversation about your use case.