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AI-first customer-service helpdesk built around the Fin AI agent, for support teams handling omnichannel conversations.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
Amazon's Nova Sonic is a speech-to-speech foundation model on Bedrock that captures tone and pacing for natural voice apps; usage-priced.
IBM's open, hybrid data lakehouse that connects, governs and optimizes enterprise data to make it AI-ready across clouds and on-premises.
No public pricing
Free trial available
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Fin AI agent for customer service
- ✦Omnichannel agent inbox
- ✦AI-assisted ticketing
- ✦Copilot agent assistant
- ✦AI conversation insights and scoring
- ✦No-code automations
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦Unified speech understanding and generation
- ✦Captures tone, inflection and pacing
- ✦Available via Amazon Bedrock API
- ✦Simplifies voice-app development
- ✦Supports customer-service and agent use cases
- ✦Open hybrid data lakehouse
- ✦Connects data across clouds and on-prem
- ✦Governance, lineage and access controls
- ✦Business-context enrichment
- ✦AI-ready data for analytics and models
- →Automating customer support with AI
- →Assisting human agents in real time
- →Routing and resolving tickets
- →Analyzing support quality and trends
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Automate customer-service calls
- →Build natural voice AI agents
- →Add expressive speech to applications
- →Unifying fragmented enterprise data
- →Governing data for AI workloads
- →Moving AI pilots to production
- →Powering analytics with trusted data