| Data Ingestion & Knowledge Sources |
- Supports ingestion of over 1,400 file formats (PDF, DOCX, TXT, Markdown, HTML, etc.) via drag-and-drop or API.
- Crawls websites using sitemaps and URLs to automatically index public helpdesk articles, FAQs, and documentation.
- Automatically transcribes multimedia content (YouTube videos, podcasts) with built-in OCR and speech-to-text technology.
View Transcription Guide
- Integrates with cloud storage and business apps such as Google Drive, SharePoint, Notion, Confluence, and HubSpot using API connectors and Zapier.
See Zapier Connectors
- Offers both manual uploads and automated retraining (auto-sync) to continuously refresh and update your knowledge base.
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- Implements bespoke data pipelines to ingest virtually any data source—internal documents, FAQs, websites, databases, and proprietary APIs.
- Handles common formats like PDF, DOCX, and more, and can be extended to custom sources per project requirements.
Project case study
- Designs scalable architecture (hardware, storage, indexing) for large-scale data retrieval with continuous updates through automated pipelines.
Learn more
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| Integrations & Channels |
- Provides an embeddable chat widget for websites and mobile apps that is added via a simple script or iframe.
- Supports native integrations with popular messaging platforms like Slack, Microsoft Teams, WhatsApp, Telegram, and Facebook Messenger.
Explore API Integrations
- Enables connectivity with over 5,000 external apps via Zapier and webhooks, facilitating seamless workflow automation.
- Offers secure deployment options with domain allowlisting and ChatGPT Plugin integration for private use cases.
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- Delivers custom integration into any channel—websites, mobile apps, internal messengers (e.g. Slack, Teams) or legacy systems—tailored to the client’s ecosystem.
- Provides custom API endpoints or webhooks that can be integrated with existing CRM, ERP, or ITSM tools, although these require dedicated development work.
Integration approach
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| Core Chatbot Features |
- Delivers retrieval-augmented Q&A powered by OpenAI’s GPT-4 and GPT-3.5 Turbo, ensuring responses are strictly based on your provided content.
- Minimizes hallucinations by grounding answers in your data and automatically including source citations for transparency.
Benchmark Details
- Supports multi-turn, context-aware conversations with persistent chat history and robust conversation management.
- Offers multi-lingual support (over 90 languages) for global deployment.
- Includes additional features such as lead capture (e.g., email collection) and human escalation/handoff when required.
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- Builds a custom AI chatbot that is fully tailored to the client’s domain with multi-turn dialogue, context memory, and language support (including local language models when needed).
- Implements features like lead capture, escalation to human agents, and integration with enterprise workflows (e.g. IT ticketing systems) as specified by the client.
Read a case study
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| Customization & Branding |
- Enables full white-labeling: customize the chat widget’s colors, logos, icons, and CSS to fully match your brand.
White-label Options
- Provides a no-code dashboard to configure welcome messages, chatbot names, and visual themes.
- Allows configuration of the AI’s persona and tone through pre-prompts and system instructions.
- Supports domain allowlisting so that the chatbot is deployed only on authorized websites.
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- Delivers a fully bespoke solution where the chatbot UI and behavior are completely customized to mirror the client’s brand identity.
- Integrates into existing company tools and internal systems with custom styling, user interface, and domain-specific dialog flows—changes require development effort.
Learn about our custom approach
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| LLM Model Options |
- Leverages state-of-the-art language models such as OpenAI’s GPT-4, GPT-3.5 Turbo, and optionally Anthropic’s Claude for enterprise needs.
- Automatically manages model selection and routing to balance cost and performance without manual intervention.
Model Selection Details
- Employs proprietary prompt engineering and retrieval optimizations to deliver high-quality, citation-backed responses.
- Abstracts model management so that you do not need to handle separate LLM API keys or fine-tuning processes.
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- Offers ultimate flexibility in LLM selection – from OpenAI’s GPT models to on-premises open-source models (e.g. Llama 2, Falcon) tailored to the client’s needs.
- Supports fine-tuning of models on proprietary data for domain-specific language and terminology, though model changes require redevelopment and redeployment.
View our services
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| Developer Experience (API & SDKs) |
- Provides a robust, well-documented REST API with endpoints for creating agents, managing projects, ingesting data, and querying responses.
API Documentation
- Offers official open-source SDKs (e.g. Python SDK
customgpt-client) and Postman collections to accelerate integration.
Open-Source SDK
- Includes detailed cookbooks, code samples, and step-by-step integration guides to support developers at every level.
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- Provides a custom API built specifically for each project; endpoints are designed according to the client’s needs with standard JSON over HTTP.
- Documentation is project-specific and support is provided directly by the Deviniti team via consultations and direct assistance rather than a public SDK.
See a project example
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| Integration & Workflow |
- Enables rapid deployment via a guided, low-code dashboard that allows you to create a project, add data sources, and auto-index content.
- Supports seamless integration into existing systems through API calls, webhooks, and Zapier connectors for automation (e.g., CRM updates, email triggers).
Auto-sync Feature
- Facilitates integration into CI/CD pipelines for continuous knowledge base updates without manual intervention.
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- Integrates deeply with enterprise workflows—embedding the chatbot into internal systems, websites, and mobile apps with custom code.
- Can include complex automation, such as triggering ERP actions or support ticket creation when the bot escalates a query.
Custom integration case study
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| Performance & Accuracy |
- Optimized retrieval pipeline using efficient vector search, document chunking, and caching to deliver sub-second response times.
- Independent benchmarks show a median answer accuracy of 5/5 (e.g., 4.4/5 vs. 3.5/5 for alternatives).
Benchmark Results
- Delivers responses with built-in source citations to ensure factuality and verifiability.
- Maintains high performance even with large-scale knowledge bases (supporting tens of millions of words).
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- Utilizes industry best practices in retrieval and indexing, including multi-index retrieval and fine-tuned prompt engineering, to ensure precise, context-rich answers.
- Can fine-tune models on proprietary data to reduce hallucinations, although achieving productized-level optimization may require ongoing development.
Learn more about our approach
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| Customization & Flexibility (Behavior & Knowledge) |
- Enables dynamic updates to your knowledge base – add, remove, or modify content on-the-fly with automatic re-indexing.
- Allows you to configure the agent’s behavior via customizable system prompts and pre-defined example Q&A, ensuring a consistent tone and domain focus.
Learn How to Update Sources
- Supports multiple agents per account, allowing for different chatbots for various departments or use cases.
- Offers a balance between high-level control and automated optimization, so you get tailored behavior without deep ML engineering.
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- Offers complete control over data sources and bot behavior – new content sources can be integrated via custom pipelines, though updates may require developer intervention.
- Allows for bespoke personalization of the bot’s tone, dynamic dialog flows, and even integration with live data (e.g. API calls to external systems) tailored per project.
Case study details
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| Pricing & Scalability |
- Operates on a subscription-based pricing model with clearly defined tiers: Standard (~$99/month), Premium (~$449/month), and custom Enterprise plans.
- Provides generous content allowances – Standard supports up to 60 million words per bot and Premium up to 300 million words – with predictable, flat monthly costs.
View Pricing
- Fully managed cloud infrastructure that auto-scales with increasing usage, ensuring high availability and performance without additional effort.
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- Priced on a project basis plus potential ongoing maintenance fees – ideal for enterprises with unique requirements that justify a custom build.
- For large-scale deployments, infrastructure costs (cloud or on-prem) are managed by the client, with the solution designed to scale to millions of queries as needed.
Client portfolio
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| Security & Privacy |
- Ensures enterprise-grade security with SSL/TLS for data in transit and 256-bit AES encryption for data at rest.
- Holds SOC 2 Type II certification and complies with GDPR, ensuring your proprietary data remains isolated and confidential.
Security Certifications
- Offers robust access controls, including role-based access, two-factor authentication, and Single Sign-On (SSO) integration for secure management.
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- Can be deployed on-premises or in a private cloud, ensuring full data sovereignty and compliance with strict regulatory requirements.
- Implements robust encryption, access controls, and compliance monitoring that integrate with the client’s existing IT security systems.
Security details
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| Observability & Monitoring |
- Includes a comprehensive analytics dashboard that tracks query volumes, conversation history, token usage, and indexing status in real time.
- Supports exporting logs and metrics via API for integration with third-party monitoring and BI tools.
Analytics API
- Provides detailed insights for troubleshooting and continuous improvement of chatbot performance.
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- Delivers custom monitoring solutions that can integrate with enterprise cloud monitoring tools (e.g. AWS CloudWatch, Prometheus) to track performance and log all interactions.
- An admin dashboard or SIEM integration can be implemented to provide real-time analytics, alerts, and detailed system logs.
Learn more
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| Support & Ecosystem |
- Offers extensive online documentation, tutorials, cookbooks, and FAQs to help you get started quickly.
Developer Docs
- Provides responsive support via email and in-app chat; Premium and Enterprise customers receive dedicated account management and faster SLAs.
Enterprise Solutions
- Benefits from an active community of users and partners, along with integrations via Zapier and GitHub-based resources.
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- Provides personalized, consultative support throughout the project—from development through post-launch maintenance—with direct access to Deviniti’s team.
- Documentation and training are delivered on a per-project basis, and integration with the client’s existing enterprise ecosystem is a key focus.
View our services
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| Additional Considerations |
- Reduces engineering overhead by providing an all-in-one, turnkey RAG solution that does not require in-house ML expertise.
- Delivers rapid time-to-value with minimal setup – enabling deployment of a functional AI assistant within minutes.
- Continuously updated to leverage the latest improvements in GPT models and retrieval methods, ensuring state-of-the-art performance.
- Balances high accuracy with ease-of-use, making it ideal for both customer-facing applications and internal knowledge management.
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- Offers ultimate flexibility and control, enabling the development of hybrid agents that can perform complex, transactional tasks beyond Q&A.
- Provides complete ownership of the solution and the ability to evolve the system over time with custom enhancements as the AI landscape advances.
Learn about our custom governance
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| No-Code Interface & Usability |
- Features an intuitive, wizard-driven web dashboard that lets non-developers upload content, configure chatbots, and monitor performance without coding.
- Offers drag-and-drop file uploads, visual customization for branding, and interactive in-browser testing of your AI assistant.
User Experience Review
- Supports role-based access to allow collaboration between business users and developers.
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- Does not offer a generic no-code management interface by default—custom administration is typically handled by IT or via bespoke dashboards built into the solution.
- While non-technical users may interact with the chatbot itself, any deeper configuration (e.g. adding new data sources or adjusting behavior) is managed by the technical team.
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CustomGPT
Deviniti