The highest-fit use cases span both cross-functional teams and industry-specific workflows. From Support, IT, Sales, Compliance, and Engineering to sectors like financial services, healthcare, e-commerce, and professional services—these are the environments where accurate answers, governed automation, and reliable AI reasoning create outsized impact.
rag as a service
RAG as a Service
Reliable, access-true answers from your private knowledge—delivered as a enterprise-ready agent that we build, integrate, and maintain!
RAG AS A SERVICE
What is Krazimo's RAG as a Service and who’s it for?
Our RaaS is an enterprise-grade approach to retrieval-augmented generation where Krazimo provides the service and the software: we onboard your data sources, configure AI models, guardrails and AI systems, and deliver a generative AI agent that respects your access controls and works with your existing systems. It’s a pragmatic path to enterprise AI—without the do it yourself approach.
RAG as a Service helps teams deliver more accurate answers, better customer experiences, and smoother operations by grounding AI in your approved data, policies, and security standards. It combines retrieval, NLP, and machine learning to power real enterprise workflows, enabling you to roll out trustworthy AI across functions quickly and safely.
RAG as a Service is useful for Financial services (KYC, fraud detection, policies), Healthcare (SOPs, image and video analysis, PHI controls), E-commerce (catalog Q&A, returns), Professional services (knowledge capture for global organizations) and really any organization that’s trying gain more from its data.
who uses it
High-fit teams & use cases
Sales Enablement
Knowledge search, L1 deflection, policy Q&A; virtual assistants that surface relevant data with citations.
Support & Success
Competitive intel, product FAQs, proposal assist; understanding customer preferences and personalize customer interactions.
Compliance & Legal
Access-true answers with citations; risk management and audit trails.
Engineering Productivity
Repo/wiki retrieval, SOPs; data analysis patterns for data scientists.
What makes us different
Krazimo vs the competition
The highest-fit use cases span both cross-functional teams and industry-specific workflows. From Support, IT, Sales, Compliance, and Engineering to sectors like financial services, healthcare, e-commerce, and professional services—these are the environments where accurate answers, governed automation, and reliable AI reasoning create outsized impact.
Done-for-you onboarding
We connect sources, map ACLs in your enterprise systems, and ship a functional agent. This is hands-on service delivery, not just software.
Delivered production agent
Integrated where your users already work—across business systems and tools—so value shows up in day-to-day customer interactions.
Results you can count on
Quality baselines, live evals, and monthly tuning cycles; managing AI models with safety checks and fine tuning when it helps.
We maintain it
Drift alerts, retrieval fixes, and prompt/reranker improvements handled by our team—freeing your technical expertise for higher-value AI projects.
our process
How it works
Stage 0
We scope your pilot & onboarding plan
A 30–45 minute demo + discovery with your stakeholders (Support, IT, Security, Compliance) to understand goals, success metrics, priority use cases, data sources, identity/ACL model (SSO/SAML), deployment preference (SaaS/Private/VPC), and any compliance constraints.
Stage 0.5
Onboarding Proposal
Within 1–2 business days we share a short plan—proposed architecture, timeline, acceptance criteria—and a one-time onboarding cost (fixed fee) based on scope (connectors, volume, ACL complexity, evaluations). Managed subscription is quoted separately.
Stage 1
We onboard your sources
We connect data sources (Google Drive, SharePoint, Confluence, Notion, S3/GCS, Jira, Zendesk, Salesforce, databases), map ACLs, and plan AI integration to your technology stack.
Stage 2
We ingest & enrich your content
We parse PDFs, slides, tables, and images; run OCR; version and deduplicate; and capture training data signals from feedback and raw data.
Stage 3
We index & optimize for your queries
Hybrid semantic + keyword search, smart chunking, metadata filters, freshness pipelines—tuned for your terminology and AI platform preferences.
Stage 4
We ground generation & enforce policies
Cross-encoder reranking, citations, policy filters, guardrails—and optional fine tuning. Works with large language models, machine learning models, and custom AI models.
Stage 5
We evaluate, tune & maintain performance
Eval sets, feedback loops, drift detection, monthly tuning cycles, and QBRs—so quality improves over time and supports your digital transformation.
Stage 6
We deploy and transition to a managed subscription
Production rollout (SaaS, Private, or VPC-isolated) with SSO/SAML, RBAC, logging, and monitoring. Ongoing support and maintenance include regression triage, retrieval and prompt/reranker updates, content hygiene playbooks, and SLAs. We proactively track benchmarks and keep the system current with state-of-the-art practices (model/retrieval upgrades, safety/evaluation improvements, and cost/perf optimizations), and expand to new use cases as your needs grow.
capabilities
Engineered for accuracy
Multimodal retrieval
Docs, tables, images, and transcripts—all retrievable with citations via natural language.
Access-true answers
Honors source ACLs and row-level permissions end-to-end across AI systems.
Observability
Retrieval hit rate, context quality, and answer quality dashboards—evidence for enterprise AI governance.
Freshness & sync
Near real-time updates; change-event reindexing for living knowledge and active AI enterprise use.
Agent-ready
AI agents and virtual assistants with safe function calling (tickets, CRM notes, knowledge updates).
RAG as a Service pricing
Choose the best plan for your goals
Starter
Standard
$400/mo
INCLUDES:
Page processing (mo):
40,000
Retrievals (Answer API):
Unlimited*
Agent calls (hosted by us):
10,000
For teams up to:
5
Connectors included:
1
Workspaces:
1
API RPS:
8
SSO (SAML/SCIM):
X
Audit / Access:
Standard
SLA:
Best-effort
Engineering support:
2h/mo
Pro
Most Popular
1,000/mo
INCLUDES:
Page processing (mo):
120,000
Retrievals (Answer API):
Unlimited*
Agent calls (hosted by us):
50,000
For teams up to:
10
Connectors included:
2
Workspaces:
2
API RPS:
20
SSO (SAML/SCIM):
Add-on
Audit / Access:
Enhanced
SLA:
99.5%
Engineering support:
4h/mo
Business
Premium
$2,000/mo
INCLUDES:
Page processing (mo):
240,000
Retrievals (Answer API):
Unlimited*
Agent calls (hosted by us):
150,000
For teams up to:
25
Connectors included:
4
Workspaces:
3
API RPS:
50
SSO (SAML/SCIM):
✓
Audit / Access:
Advanced
SLA:
99.9%
Engineering support:
10h/mo
Can be provided upon request
Enterprise
Elite
Contact Us
INCLUDES:
Page processing (mo):
Custom
Retrievals (Answer API):
Unlimited*
Agent calls (hosted by us):
Custom
For teams up to:
Custom
Connectors included:
Custom
Workspaces:
Custom
API RPS:
Custom
SSO (SAML/SCIM):
✓
Audit / Access:
Advanced + custom
SLA:
Custom w/ credits
Engineering support:
Dedicated FDE
Can be provided upon request
* “Unlimited” retrievals are subject to fair-use and plan RPS limits.
** Advisory only; we do not track or enforce seat counts.
** Advisory only; we do not track or enforce seat counts.
reference architecture
Deployment options
- SaaS and Private cloud
- VPC-isolated deployments for regulated teams (keep data in-tenant and align with enterprise artificial intelligence controls).
integrations
We integrate with your systems and AI tools
Select List
Knowledge & Docs
Connect your document ecosystems and knowledge bases so we can retrieve SOPs, policies, FAQs, and institutional knowledge with access-true permissions.
Communication Apps
Integrate AI-assisted answers and workflows directly into your communication tools for faster internal support and real-time collaboration.
Planning & Work Management
Bring issue tracking, tasks, and project data into your RAG pipeline to support IT, engineering, and operations workflows.
Support & CRM
Enable agents and customers to access accurate, ACL-respecting answers across support tickets and CRM records.
Databases & Warehouse
Query structured data securely—supporting compliance, analytics, and enterprise reporting use cases.
Storage
Seamlessly ingest and sync files, media, and large datasets from cloud storage providers.
Indentity & Access
Map enterprise identity systems and ACLs end-to-end so every answer respects row-level and role-based permissions.
what you get
Delivered, production-ready enterprise AI
Production-ready agent tailored to your use case (support, search, enablement, compliance)—ready for real business processes across various business functions.
Source connectors configured and synced; data governance and ACL mapping across AI systems and content.
Eval harness & dashboards with baselines and SLAs; drift detection & monthly tuning to optimize resource allocation and boost productivity.
Playbooks for content hygiene, updates, ownership, and AI implementation best practices.
Ongoing maintenance—retrieval fixes, prompts/rerankers, regressions triage; follow-through on AI adoption and market trends.
Case studies
AI lawyer
Legal AI You Can Trust
CaseLogic is built for legal reliability with citation enforcement, specialist review, and secure case workspaces, so users receive answers they can audit and decisions they can defend.
Blockchain AI
Web3 & Blockchain
Blockchain Exploration as Easy as Asking
GraphAI makes blockchain analytics accessible through safe, real-time querying, turning raw on-chain activity into clear insights.
get started
See your content answering real questions, safely and accurately.
Book a demo and get a plan to implement enterprise AI that improves customer experience and operational efficiency with an extensible AI platform.
frequently asked questions
FAQs
How is this different from generic chatbots or other enterprise AI tools?
We deliver the working agent, not just tooling—plus onboarding, evaluations, drift fixes, and monthly tuning on your chosen AI platform.
Can you deploy in our VPC and preserve our ACLs?
Yes. We support VPC-isolated deployments and preserve source ACLs end-to-end for access-true answers across AI systems.
What evaluation metrics do you expose?
Retrieval hit rate, context quality, and answer quality dashboards with baselines and target SLAs—evidence for enterprise AI governance.
What models and vector stores do you support?
Open/closed LLMs, large language models, machine learning models, pgvector, OpenSearch/Elastic, Pinecone—selected to match your constraints.
How fast to first value?
Guided pilot to production in weeks, followed by managed improvements—accelerating AI adoption across teams.