RAG
RAG Knowledge Bases
Private retrieval-augmented systems that answer using your data — with citations to the source document.
- Doc, SOP, contract ingestion
- Citation-backed answers
- Permissions-aware retrieval
Custom AI Infrastructure
Custom AI systems built around your business.
Private RAG knowledge bases, internal copilots, multi-agent systems and document intelligence — engineered around your data, your processes and your security posture.
OpenAI · Anthropic · open-source
Pinecone · Weaviate · pgvector
SOC2-friendly stack
vibetoscale / ai-infra
Live99.98%
Uptime
320ms
P95 latency
1.2M
Indexed chunks
SOC2
Compliance
Architecture · production
encryptedhealthy
Embeddings API
142ms · healthy
LLM Router
320ms · healthy
Knowledge Sync
indexing
The problem
Generic AI doesn't understand your business.
ChatGPT is great at general knowledge. Useless when the answer is in your contract, SOP, or product database.
Knowledge is trapped
SOPs, playbooks, contracts and product docs live in PDFs, Drive, Notion, and people's heads.
Workflows aren't connected
Off-the-shelf AI can't take actions across your CRM, ERP and product — it can only chat.
Privacy can't be compromised
Sensitive data can't leak to consumer AI tools. You need control over what's stored, where, and by whom.
Hallucination is unacceptable
For finance, legal, healthcare and ops use cases, answers must be cited and verifiable.
What you get
AI infrastructure that knows your business.
Modular components combined into a system that fits your data, security model and roadmap.
Copilot
Internal AI Copilots
Role-specific assistants for sales, support, ops, HR and engineering — embedded in Slack, Teams or your app.
- Slack + Teams native
- Tool-using agents
- Per-role tuning
Trained
Company-trained AI Assistants
Fine-tuned or prompt-engineered models that reflect your tone, taxonomy and decision rules.
- Brand voice + style
- Domain vocabulary
- Decision rubrics
SOPs
SOP Assistants
Walk teammates through complex SOPs interactively — onboarding, compliance, IT, finance.
- Step-by-step guidance
- Branching logic
- Action checklists
Integration
API Integrations
Connect AI to every system of record so it can read, write and act — securely.
- OAuth + service accounts
- Audit logs
- Scoped permissions
Multi-agent
Multi-Agent Systems
Orchestrated agents that collaborate on complex tasks — research, deal review, ops triage, content production.
- Planner + worker agents
- Memory + state
- Human-in-the-loop checkpoints
How it works
Your data, your stack, your AI.
Company Data → Secure AI Layer → Internal Assistant → Team Productivity.
01
Discover
Audit data sources, security requirements, and target use cases.
02
Architect
Choose models, vector store, orchestration, and deployment topology.
03
Build
Ingest data, build RAG, wire integrations, deploy agents and copilots.
04
Secure & evaluate
Eval harness, red-team prompts, role-based access, audit logging.
05
Roll out
Phased team rollout, training, monitoring, and continuous improvement.
The outcomes
Compounding leverage across every team.
+38%
Productivity lift
Across knowledge workers using internal copilots.
−92%
Time-to-answer
From 'who would know this?' to instant cited reply.
100%
Data stays private
Built in your environment, your tenant, your control.
24/7
Always available
Onboarding, support and ops never wait on someone's calendar.
Industry use cases
Where custom AI infrastructure unlocks moats
Professional Services
Scenario
Legal, audit and consulting work depends on past engagements and templates.
Outcome
Private knowledge base + copilot accelerates drafting 4x.
Mid-market B2B
Scenario
Onboarding new reps takes 90 days because no one can find anything.
Outcome
Sales copilot answers product, pricing and competitor questions instantly.
Ecommerce
Scenario
Support agents juggle product specs, SKUs and policies in 6 tabs.
Outcome
Support copilot drafts replies grounded in product DB + help center.
Healthcare
Scenario
Clinical staff search SOPs and protocols under time pressure.
Outcome
Compliant on-prem assistant retrieves protocols with citations.
Education
Scenario
Faculty + staff buried in policy questions across departments.
Outcome
Internal AI assistant trained on policies, FAQs and historical decisions.
Real Estate
Scenario
Sales team can't find the latest brochure, price, or floor plan.
Outcome
Project-aware copilot delivers the right asset every time.
Start your AI system
Ready to ship custom ai infrastructure inside your business?
Book a free AI automation audit. We'll map the highest-ROI workflow and scope a system you can launch in weeks, not quarters.
FAQ
Common questions, answered.
Still curious? The free audit call is the fastest path to a direct answer.
In your cloud (AWS / GCP / Azure) or our managed environment under your tenant. Sensitive data never enters consumer AI tools.
Both. We pick per use case — GPT/Claude for quality, open-source (Llama, Mistral) for cost or privacy, often hybrid.
Retrieval-augmented generation with strict source-grounding, citation, refusal patterns, and an eval harness against your real questions.
Yes. Agents can read and write across your tools with role-based permissions and audit logs.
SOC2-aligned stack, least-privilege integrations, RBAC, audit logs, prompt + response logging, and optional on-prem deployment.
Typical RAG + copilot: 4–8 weeks. Multi-agent or fine-tuned systems: 8–16 weeks.