RAG & Enterprise AI
Turn your company’s documents and data into trusted, cited, permission-aware answers for every employee.
We Deliver AI That Knows Your Business, and Only Tells the Truth
Turn years of scattered documents into instant, trusted, cited answers for every employee.
Your company already holds the answers, buried in PDFs, contracts, wikis, inboxes and databases. We build secure Retrieval-Augmented Generation (RAG) systems that let your teams ask in plain language and get accurate, source-backed answers in seconds, with access controls that respect who is allowed to see what.
1
Private Company Knowledge AI
Let employees securely interact with internal documents and business knowledge, in plain language.
2
Accurate Grounded Answers
Reduce hallucinations by grounding every response in approved company data, with citations you can check.
3
Enterprise Document Intelligence
Extract and analyze information from PDFs, contracts, invoices, reports, policies and other documents.
4
Permission-Aware AI
Ensure users only retrieve information they are authorized to access, mirroring your existing permissions.
5
Real-Time Knowledge Retrieval
Connect AI to constantly changing databases, websites, APIs and internal systems, so answers are never stale.
The Math Behind Trusted Enterprise AI
Finding information is a hidden tax on every team. Here is what grounded, permission-aware AI typically gives back.
90%
Fewer Unsupported Answers
Typical drop in hallucinated responses once answers are grounded and cited.
75%
Faster Information Lookup
Typical reduction in time spent searching for policies, contracts and answers.
95%
Document Extraction Accuracy
Typical field-level accuracy on well-structured invoices, contracts and forms.
100%
Permission-Aware Retrieval
Every query respects each user's existing access rights, with a full audit trail.
1 in 5work hours is commonly spent hunting for information
<3 sectypical time to a cited answer from millions of pages
10M+pages of documents searchable in a single knowledge layer
3-6 motypical payback on well-scoped enterprise AI projects
Figures are industry-reported benchmarks and typical client outcomes. Your results depend on your data quality, volumes and starting point.
From Scattered Files to a Single Source of Truth
We start with one high-value use case, prove accuracy, then expand across the business.
1. Discover
We map your data sources, users, risks and the questions that cost you the most time.
2. Ingest & Structure
We connect, clean, chunk and index documents, tables and live systems.
3. Secure
We apply role-based access, encryption and audit logging from day one.
4. Test & Ground
We measure accuracy and citations against your real questions before launch.
5. Launch & Improve
We monitor usage, feedback and answer quality, then scale to new teams.
24 Leading Tools, Tailored to Your Organization
We are vendor-neutral. We choose and combine the AI models, vector databases, search engines and business systems that fit your data, security rules and budget, in the cloud, on-premise or hybrid.
OAOpenAIGPT language models
ClAnthropic ClaudeReasoning & analysis
GmGoogle GeminiMultimodal AI
AzAzure OpenAIEnterprise-grade GPT
BdAmazon BedrockManaged foundation models
LCLangChainRAG orchestration
LILlamaIndexData & retrieval framework
HsHaystackSearch pipelines
PcPineconeVector database
WvWeaviateVector search
MvMilvusScalable vectors
QdQdrantVector search engine
pgpgvectorVectors in PostgreSQL
ESElasticsearchHybrid search
ASAzure AI SearchEnterprise search
CoCohere RerankResult re-ranking
UnUnstructuredDocument parsing
SPMicrosoft SharePointDocument library
CfConfluenceTeam wiki
GDGoogle DriveCloud files
SnSnowflakeData cloud
DbDatabricksData & AI platform
EnMicrosoft Entra IDIdentity & access
OkOktaSingle sign-on
All names are trademarks of their respective owners. We recommend and integrate only what fits your business.
What Business Leaders Say
Sample leadership feedback shown for layout. Replace with approved client reviews before publishing.
“
Our teams stopped digging through shared drives. They ask a question and get the answer with the source attached. Onboarding time for new hires has dropped dramatically.
Chief Executive OfficerProfessional Services Firm“
Trust was our biggest concern. Every answer is cited, and people only see what they are cleared to see. Contract review that took days now takes hours, with full audit trails.
Chief Legal & Compliance OfficerFinancial Services Group“
It connected our policies, systems and live data without a rebuild. Support resolution is faster, answers are consistent, and the savings showed up within a quarter.
Chief Operating OfficerHealthcare & Insurance ProviderFrequently Asked Questions
What is RAG (Retrieval-Augmented Generation)?
RAG lets an AI model look up relevant information from your approved documents and systems before answering, so responses are grounded in your real data instead of guesswork.
Will our confidential data be used to train public AI models?
No. We design private deployments where your data stays under your control, with options for private cloud or on-premise hosting.
How do you stop AI from making things up?
We ground answers in retrieved sources, require citations, test against your real questions, and have the system say "I don't know" when evidence is missing.
Can it respect who is allowed to see which documents?
Yes. Permission-aware retrieval mirrors your existing access rights, so each person only gets answers from content they are authorized to view.
What document types and systems can you connect?
PDFs, contracts, invoices, reports, policies, wikis, emails, databases, websites and APIs, including systems that change in real time.
Ready to Make Your Company Knowledge Work for You?
Tell us where your knowledge lives and what slows your teams down. In a free 30-minute knowledge audit, we'll identify your highest-value use case and show how a secure RAG system would answer it.
- No obligation, no sales script
- A ranked list of high-value AI use cases
- A clear view of security and access requirements