Data Ingestion & Knowledge Sources
Custom ETL Pipelines – Pulls from proprietary systems, SharePoint, wikis, cloud storage into single indexUnstructured + Structured – PDFs, HTML, multimedia, databases, spreadsheets unified knowledge base Learn more Vector Databases – Pinecone, Weaviate integration for domain-specific data indexing and retrieval
100+ Native Connectors – SharePoint, Salesforce, ServiceNow, Confluence, databases, file shares, Slack, websites merged into one indexOCR & Structured Data – Indexes scanned docs, intranet pages, knowledge articles, multimedia contentReal-Time Sync – Incremental crawls, push APIs, scheduled syncs keep content fresh
1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archivesWebsite crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public contentMultimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-inCloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-syncKnowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectorsMassive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Bespoke Connectors – Custom integrations for CRM, ERP, internal intranets, legacy systemsMulti-Channel Deployment – Web, mobile, Slack, Microsoft Teams via custom interfaces Integration services
Atomic UI Components – Drop-in components for search pages, support hubs, commerce sites with generative answersNative Platform Integrations – Salesforce, Sitecore with AI answers inside existing toolsREST APIs – Build custom chatbots, virtual assistants on Coveo's retrieval engine
Website embedding – Lightweight JS widget or iframe with customizable positioningCMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce toolsMCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, WindsurfOpenAI SDK compatible – Drop-in replacement for OpenAI API endpointsLiveChat + Slack – Native chat widgets with human handoff capabilities
RAG Agents – Context-rich answers via advanced relevancy search and prompt engineeringMulti-Turn Conversations – Context retention with source attribution for trust See approach Multi-Agent Systems – Complex agent orchestration and multi-step reasoning for business workflows
Uses Relevance Generative Answering (RGA)—a two-step retrieval plus LLM flow that produces concise, source-cited answers.
Respects permissions, showing each user only the content they’re allowed to see.
Blends the direct answer with classic search results so people can dig deeper if they want.
✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI✅ Source citations – Every response includes clickable links to original documents✅ 93% resolution rate – Handles queries autonomously, reducing human workload✅ 92 languages – Native multilingual support without per-language config✅ Lead capture – Built-in email collection, custom forms, real-time notifications✅ Human handoff – Escalation with full conversation context preserved
✅ Unlimited Customization – Persona, tone, fully branded UI through bespoke developmentBrand Voice Matching – Voice, greetings, fonts, colors, layouts tailored collaboratively Learn more
Atomic components are fully styleable with CSS, making it easy to match your brand’s look and feel.
You can tweak answer formatting and citation display through configs; deeper personality tweaks mean editing the prompt.
Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost2-minute setup – No-code wizard with drag-and-drop interfacePersona customization – Control AI personality, tone, response style via pre-promptsVisual theme editor – Real-time preview of branding changesDomain allowlisting – Restrict embedding to approved sites only
✅ Model-Agnostic – GPT-4, Claude, LLaMA, Gemini, Cohere, open-source alternatives supportedDomain Fine-Tuning – Custom model tuning on business data for performance boost Learn more
Azure OpenAI GPT – Primary models via Azure OpenAI for high-quality generationBring Your Own LLM – Relevance-Augmented Passage Retrieval API supports custom modelsAuto-Tuning – Handles model tuning, prompt optimization; API override available
GPT-5.1 models – Latest thinking models (Optimal & Smart variants)GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o availableClaude 4.5 – Anthropic's Opus available for EnterpriseAuto model routing – Balances cost/performance automaticallyZero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
⚠️ Custom APIs Only – Tailor-made microservices, no off-the-shelf SDKs or self-serviceLangChain/Haystack – Internal frameworks with docs and code reviews on delivery See process
REST APIs & SDKs – Java, .NET, JavaScript for indexing, connectors, queryingUI Components – Atomic and Quantic components for fast front-end integrationEnterprise Documentation – Step-by-step guides for pipelines, index management
REST API – Full-featured for agents, projects, data ingestion, chat queriesPython SDK – Open-source customgpt-client with full API coveragePostman collections – Pre-built requests for rapid prototypingWebhooks – Real-time event notifications for conversations and leadsOpenAI compatible – Use existing OpenAI SDK code with minimal changes
✅ High Accuracy – Fine-tuned retrieval, advanced reranking for relevant context onlyScalable Infrastructure – Efficient vector search, low latency on complex queries Benchmarks
Pairs keyword search with semantic vector search so the LLM gets the best possible context.
Reranking plus smart prompts keep hallucinations low and citations precise.
Built on a scalable architecture that handles heavy query loads and massive content sets.
Sub-second responses – Optimized RAG with vector search and multi-layer cachingBenchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants APIAnti-hallucination tech – Responses grounded only in your provided contentOpenGraph citations – Rich visual cards with titles, descriptions, images99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility ( Behavior & Knowledge)
✅ Complete Control – Multiple datastores, role-based access, custom system prompt tuningContinuous Refinement – Add training data, tune prompts, custom logic integration Learn more
Fine-tune which sources and metadata the engine uses via query pipelines and filters.
Integrates with SSO/LDAP so results are tailored to each user’s permissions.
Developers can tweak prompt templates or inject business rules to shape the output.
Live content updates – Add/remove content with automatic re-indexingSystem prompts – Shape agent behavior and voice through instructionsMulti-agent support – Different bots for different teamsSmart defaults – No ML expertise required for custom behavior
⚠️ Project-Based Pricing – $10K+ minimum, higher upfront than SaaS subscriptions Pricing ✅ Enterprise Scale – Infrastructure scales with query volume and data growth automatically
Enterprise Licensing – Pricing based on sources, query volume, features99.999% Uptime – Scales to millions of queries, regional data centersAnnual Contracts – Volume tiers with optional premium support
Standard: $99/mo – 60M words, 10 botsPremium: $449/mo – 300M words, 100 botsAuto-scaling – Managed cloud scales with demandFlat rates – No per-query charges
✅ Data Sovereignty – On-prem or VPC deployments for complete data controlEnterprise Compliance – HIPAA, FINRA, GDPR with encryption and granular access Security
ISO 27001/27018, SOC 2 – Plus HIPAA-compatible deployments availablePermission-Aware – Granular access controls, users see only authorized contentPrivate Cloud/On-Prem – Deployment options for strict data-residency requirements
SOC 2 Type II + GDPR – Third-party audited complianceEncryption – 256-bit AES at rest, SSL/TLS in transitAccess controls – RBAC, 2FA, SSO, domain allowlistingData isolation – Never trains on your data
Observability & Monitoring
Comprehensive Logging – Query performance, retrieval success, response times tracked out-of-boxStack Integration – Splunk, CloudWatch integration for real-time alerts and analytics Learn more
Analytics Dashboard – Tracks query volume, engagement, generative-answer performancePipeline Logs – Exportable for deeper analysis and troubleshootingA/B Testing – Query pipeline experiments to measure impact, fine-tune relevance
Real-time dashboard – Query volumes, token usage, response timesCustomer Intelligence – User behavior patterns, popular queries, knowledge gapsConversation analytics – Full transcripts, resolution rates, common questionsExport capabilities – API export to BI tools and data warehouses
✅ White-Glove Support – Dedicated manager, direct dev team access during and post-deployment Details Technology Partnerships – Snowflake partnership, deep expertise across multiple AI platforms
Enterprise Support – Account managers, 24/7 help, extensive training programsPartner Network – Coveo Connect community with docs, forums, certified integrationsRegular Updates – Product releases and industry events for latest trends
Comprehensive docs – Tutorials, cookbooks, API referencesEmail + in-app support – Under 24hr response timePremium support – Dedicated account managers for Premium/EnterpriseOpen-source SDK – Python SDK, Postman, GitHub examples5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Custom RAG – Context-rich answers via relevancy search and prompt engineering Approach Multi-Agent Systems – Orchestration and multi-step reasoning for complex workflowsVoice & Text – Voice agents, text chatbots, hybrid solutions per channelCRM Integration – Salesforce, HubSpot, Dynamics integration for lead capture and managementHuman Handoff – Context transfer when AI confidence drops or queries complex✅ Bespoke Development – No off-the-shelf limits on functionality or integration capabilities
Agentic AI Integration – Coveo for Agentforce, expanded API suite, Design Partner Program (2024-2025)Agent API Suite – Search API, Passage Retrieval API, Answer API for grounding agentsSalesforce Agentforce – Native integration for customer service, sales, marketing agentsAWS RAG-as-a-Service – MCP Server for Amazon Bedrock AgentCore, Agents, Quick Suite (Dec 2024)Four Tools – Passage Retrieval, Answer gen (Amazon Nova), Search, FetchSecurity-First – Inherits document/item-level permissions automatically for trusted answers
Custom AI Agents – Autonomous GPT-4/Claude agents for business tasksMulti-Agent Systems – Specialized agents for support, sales, knowledgeMemory & Context – Persistent conversation history across sessionsTool Integration – Webhooks + 5,000 Zapier apps for automationContinuous Learning – Auto re-indexing without manual retraining
R A G-as-a- Service Assessment
⚠️ Custom Agency NOT SaaS – Bespoke RAG solutions, not self-service platformTarget Audience – Enterprises with $10K+ budgets, complex needs, not rapid prototyping✅ Complete Pipeline – Chunking, embeddings, vector DBs, retrieval, reranking customizedAgentic RAG – Multi-agent reasoning, self-validation, real-time orchestration Approach ✅ Code Ownership – Clients own code and infrastructure for complete control⚠️ Timeline – Weeks to months delivery, not instant API access
Platform Type – Enterprise search with RAG-as-a-Service, Relevance Generative Answering (RGA)RAG Launch – AWS RAG-as-a-Service announced December 1, 2024 as cloud-native offering40% Accuracy Improvement – RAG increases base model accuracy according to industry studiesHybrid Search – Keyword, vector, hybrid search with relevance tuning100+ Connectors – SharePoint, Salesforce, ServiceNow, Confluence, databases, SlackBest For – Enterprises with distributed content needing permission-aware search, knowledge hubs, generative answers
Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructureAPI-first – REST API, Python SDK, OpenAI compatibility, MCP ServerNo-code option – 2-minute wizard deployment for non-developersHybrid positioning – Serves both dev teams (APIs) and business users (no-code)Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
Additional Considerations
✅ Best For – Mission-critical AI, legacy system integration, complex multi-step workflows✅ Code Ownership – Ultimate flexibility to maintain or extend post-delivery Approach ⚠️ Investment – Higher upfront cost, longer rollout than SaaS tools
Coveo goes beyond Q&A to power search, recommendations, and discovery for large digital experiences.
Deep integration with enterprise systems and strong permissioning make it ideal for internal knowledge management.
Feature-rich but best suited for organizations with an established IT team to tune and maintain it.
Time-to-value – 2-minute deployment vs weeks with DIYAlways current – Auto-updates to latest GPT modelsProven scale – 6,000+ organizations, millions of queriesMulti-LLM – OpenAI + Claude reduces vendor lock-in
No- Code Interface & Usability
⚠️ No Pre-Built UI – Admin/user interfaces built as part of custom solutionDeveloper Required – Non-developers need developer help for changes despite polished UI
Admin Console – Atomic components enable minimal-code starts⚠️ Developer Involvement – Full generative setup requires technical resources
Best For – Teams with existing IT resources, more complex than pure no-code
2-minute deployment – Fastest time-to-value in the industryWizard interface – Step-by-step with visual previewsDrag-and-drop – Upload files, paste URLs, connect cloud storageIn-browser testing – Test before deploying to productionZero learning curve – Productive on day one
Market Position – Premium custom AI agency for mission-critical enterprise RAG solutionsTarget Customers – Large enterprises, regulated industries (HIPAA, FINRA) with legacy integration needsKey Competitors – Deviniti, Contextual.ai, Azure AI, OpenAI enterprise, internal dev teams✅ Advantages – Model-agnostic, white-glove support, code ownership, on-prem/VPC deployment, Snowflake partnershipsPricing Value – Higher upfront, no recurring costs; best for complex unique requirementsIdeal Use Cases – Legacy integration, specialized workflows, fine-tuning, compliance needing on-prem control
Market Position – Enterprise AI-powered search/discovery with RGA for large-scale knowledge managementTarget Customers – Large enterprises with complex content (SharePoint, Salesforce, ServiceNow, Confluence) needing permission-aware searchKey Competitors – Azure AI Search, Vectara.ai, Glean, Elastic Enterprise SearchCompetitive Advantages – 100+ connectors, hybrid search, permission-aware results, 99.999% uptime SLAPricing – Enterprise licensing higher than SaaS chatbots; best value for unified search across massive contentUse Case Fit – Knowledge hubs, support portals, commerce sites with generative answers
Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricingvs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% fastervs Botsonic/Chatbase – More file formats, source citations, no hidden costsvs LangChain – Production-ready in 2 min vs weeks of development
✅ Model-Agnostic – GPT-4, Claude 3.5, Gemini, LLaMA 3.3, Qwen, Cohere, open-source⚠️ Selection Process – Azumo team determines during discovery, not self-service configurationFine-Tuning – Domain-specific tuning on curated datasets reflecting real business environmentsProvider Relationships – OpenAI, Anthropic, Google, Meta, DeepSeek, xAI, Mistral partnerships
Azure OpenAI GPT – Primary models via Azure OpenAI for high-quality generationModel Flexibility – Relevance-Augmented Passage Retrieval API supports custom LLMsAuto-Tuning – Handles model tuning, prompt optimization automatically; API override availableSearch Integration – LLM tightly integrated with keyword + semantic search pipeline
OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 seriesAnthropic – Claude 4.5 Opus/Sonnet (Enterprise)Auto-routing – Intelligent model selection for cost/performanceManaged – No API keys or fine-tuning required
Vector Databases – Pinecone, Weaviate, Qdrant integration for domain-specific data handlingSemantic Chunking – Breaks docs by topic/intent, sizes vary by content typeAdvanced Retrieval – Relevancy search with reranking for high accuracy context128K Context Window – Large document processing and complex queries supported✅ Complete Pipeline – Chunking, embedding, vector search, reranking, answer generation with citations
RGA (Relevance Generative Answering) – Two-step retrieval + LLM producing source-cited answersHybrid Search – Keyword + semantic vector search for optimal LLM contextReranking & Smart Prompts – Keeps hallucinations low, citations precisePermission-Aware – SSO/LDAP integration shows only authorized content per userQuery Pipelines – Fine-tune sources, metadata, filters for retrieval control99.999% Uptime – Scalable architecture for heavy query loads, massive content sets
GPT-4 + RAG – Outperforms OpenAI in independent benchmarksAnti-hallucination – Responses grounded in your content onlyAutomatic citations – Clickable source links in every responseSub-second latency – Optimized vector search and cachingScale to 300M words – No performance degradation at scale
Primary Industries – E-commerce, healthcare, finance, manufacturing/logistics with complex AI needsEnterprise Apps – Custom ETL, wiki integration, SharePoint connectors, multi-agent systemsTeam Sizes – Large enterprises, 1-15 Azumo members working alongside client teamsCommon Projects – Legacy modernization, Azure migrations, health screening, CRM integration with AI⚠️ Timeline – 12-18 month pilots typical before company-wide rollout, slower than SaaS
Industries – Financial Services, Telecommunications, High-Tech, Retail, Healthcare, ManufacturingInternal Knowledge – Enterprise systems integration, permissioning for documentation, knowledge hubsCustomer Support – Support hubs with generative answers from knowledge bases, ticket historyCommerce Sites – Product search, recommendations, AI-powered discovery featuresContent Scale – Large distributed content across SharePoint, databases, file shares, Confluence, ServiceNowTeam Sizes – Large enterprises with IT teams, millions of queries
Customer support – 24/7 AI handling common queries with citationsInternal knowledge – HR policies, onboarding, technical docsSales enablement – Product info, lead qualification, educationDocumentation – Help centers, FAQs with auto-crawlingE-commerce – Product recommendations, order assistance
✅ Certifications – HIPAA with BAA, FINRA, GDPR compliance for regulated industries✅ Deployment Options – On-premise or VPC for data sovereignty, cloud-agnostic architectureEncryption – Enterprise-grade at rest/transit, granular access controls, role-based permissionsCustom Retention – Data retention policies tailored to industry compliance mandatesMonitoring – Logging tied to Splunk, CloudWatch for real-time alerts and analyticsVulnerability Management – Continuous security scanning and threat detection for production systems
ISO 27001/27018, SOC 2 – International security, privacy standards for enterprisesHIPAA-Compatible – Deployments available for healthcare compliance requirementsGranular Access Controls – Permission-aware search, SSO/LDAP integrationPrivate Cloud/On-Prem – Options for strict data-residency requirements99.999% Uptime SLA – Regional data centers for mission-critical infrastructure
SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance256-bit AES encryption – Data at rest; SSL/TLS in transitSSO + 2FA + RBAC – Enterprise access controls with role-based permissionsData isolation – Never trains on customer dataDomain allowlisting – Restrict chatbot to approved domains
⚠️ Project-Based – $10K+ minimum, $4,200-$70K+ range, higher upfront than SaaSHourly Rate – Average $25-49/hour, costs scale by scope and complexityBilling Flexibility – Week-by-week exploratory pricing, custom enterprise agreements (average 3.2+ years)Team Size – 1-15 members ensuring quality service and timely delivery✅ Value – Full code ownership, no recurring costs, long-term investment payoff
Enterprise Licensing – $600 to $1,320 depending on sources, query volume, featuresPro Plan – Entry-level with core search, RGA for smaller enterprisesEnterprise Plan – Full-featured with advanced capabilities, higher volumes, premium supportAnnual Contracts – Volume tiers with optional premium support packages⚠️ Consumption-Based – Pricing model can make costs hard to predict
Best Value For – Unified search across massive content, millions of queries
Standard: $99/mo – 10 chatbots, 60M words, 5K items/botPremium: $449/mo – 100 chatbots, 300M words, 20K items/botEnterprise: Custom – SSO, dedicated support, custom SLAs7-day free trial – Full Standard access, no chargesFlat-rate pricing – No per-query charges, no hidden costs
✅ White-Glove – Dedicated manager, direct dev team access during and post-deploymentProject Management – Weekly meetings, backlog system, continuous engagement beyond original scopeCustom Docs – Endpoint design, architecture diagrams, implementation guides delivered with codeTraining – In-person knowledge transfer sessions with client teams, clear docs⚠️ No SLAs – Direct communication, high responsiveness reported but no formal SLAs⚠️ No Community – Professional services model only, no public forums
Enterprise Support – Account managers, 24/7 help, guaranteed response timesPartner Network – Certified integrations via Coveo Connect communityDocumentation – Step-by-step guides for pipelines, index management, connectorsTraining Programs – Admin console, Atomic components, developer integrationRegular Updates – Product releases, industry events for latest trends
Documentation hub – Docs, tutorials, API referencesSupport channels – Email, in-app chat, dedicated managers (Premium+)Open-source – Python SDK, Postman, GitHub examplesCommunity – User community + 5,000 Zapier integrations
Limitations & Considerations
⚠️ High Initial Cost – $10K+ minimum, not suitable for small businesses⚠️ Long Timeline – 12-18 month pilots, weeks to months vs. hours for SaaS⚠️ Requires Dev Teams – Need internal developers to maintain and extend post-delivery⚠️ Services-Driven – Azumo determines config, not self-service dashboard controlsLearning Curve – Significant onboarding and training needed for client teamsNot Ideal For – Simple use cases, rapid deployment needs, budget-constrained startups
⚠️ Developer Involvement – Full generative setup requires technical resources
⚠️ Cost Predictability – Consumption-based pricing hard to predict for enterprise scale
⚠️ IT Team Needed – Best for organizations with established technical teams
⚠️ Enterprise Focus – Optimized for enterprises vs. SMBs or startups
NOT Ideal For – Small businesses, plug-and-play chatbot needs, immediate no-code deployment
Managed service – Less control over RAG pipeline vs build-your-ownModel selection – OpenAI + Anthropic only; no Cohere, AI21, open-sourceReal-time data – Requires re-indexing; not ideal for live inventory/pricesEnterprise features – Custom SSO only on Enterprise plan
Join the Discussion
Loading comments...