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Communication MediaTop 10 Best Chatt Software of 2026
Top 10 Chatt Software picks ranked for 2026. Compare Twilio Conversations, Sendbird, and MessageBird to find the best fit fast.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Twilio Conversations
Conversation webhooks that trigger on message and delivery events
Built for teams building communications-grade in-app chat with event-driven backends.
Sendbird
Presence and message lifecycle events delivered through its real-time messaging APIs
Built for product teams integrating chat into apps with custom UX and backend logic.
MessageBird
Omnichannel Messaging APIs with delivery webhooks and channel routing
Built for mid-size teams building omnichannel chat and notification experiences.
Related reading
Comparison Table
This comparison table evaluates Chatt Software options that support real-time customer messaging, including Twilio Conversations, Sendbird, MessageBird, CometChat, and Stream Chat. The entries highlight key differences across conversation APIs, web and mobile chat features, scalability, and deployment fit so teams can map requirements to the right platform. Readers can use the table to shortlist providers and compare integration and feature coverage without reading vendor docs back to back.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Twilio Conversations Provides chat and messaging APIs for building real-time conversations with delivery, presence, and rich messaging primitives. | API-first | 8.8/10 | 9.0/10 | 8.6/10 | 8.9/10 |
| 2 | Sendbird Delivers real-time chat infrastructure with SDKs for in-app messaging, group chats, and moderation tools. | managed chat | 8.1/10 | 8.6/10 | 7.5/10 | 7.9/10 |
| 3 | MessageBird Offers customer engagement messaging APIs that support chat-style experiences across channels with programmable workflows. | omnichannel | 8.1/10 | 8.6/10 | 7.6/10 | 8.0/10 |
| 4 | CometChat Provides a hosted chat service and UI SDK for building scalable chat rooms, DMs, and moderation controls. | hosted chat | 7.5/10 | 7.6/10 | 8.1/10 | 6.9/10 |
| 5 | Stream Chat Supplies an event-driven chat backend with client SDKs for realtime messaging, feeds, and customizable chat UIs. | realtime SDK | 8.1/10 | 8.6/10 | 7.6/10 | 7.9/10 |
| 6 | Pusher Chatkit Supplies realtime chat infrastructure built on websockets for sending messages, typing indicators, and channel management. | realtime | 7.3/10 | 7.8/10 | 7.1/10 | 7.0/10 |
| 7 | Vonage Messages API Provides messaging APIs for conversational text experiences with programmable routing and webhook-based event handling. | messaging APIs | 7.6/10 | 8.0/10 | 7.4/10 | 7.3/10 |
| 8 | Rasa Assistant Enables conversational assistants with chat integrations for building NLU-driven chat flows and tool calling. | conversational AI | 7.1/10 | 7.6/10 | 6.6/10 | 7.1/10 |
| 9 | WhatsApp Business Platform Supports business messaging via WhatsApp with templates, messaging APIs, and webhook delivery events. | enterprise messaging | 7.3/10 | 7.8/10 | 6.8/10 | 7.0/10 |
| 10 | Telegram Bot API Implements chatbot-style interactions using HTTPS endpoints for sending messages, receiving updates, and handling commands. | bot messaging | 7.6/10 | 7.6/10 | 8.2/10 | 6.9/10 |
Provides chat and messaging APIs for building real-time conversations with delivery, presence, and rich messaging primitives.
Delivers real-time chat infrastructure with SDKs for in-app messaging, group chats, and moderation tools.
Offers customer engagement messaging APIs that support chat-style experiences across channels with programmable workflows.
Provides a hosted chat service and UI SDK for building scalable chat rooms, DMs, and moderation controls.
Supplies an event-driven chat backend with client SDKs for realtime messaging, feeds, and customizable chat UIs.
Supplies realtime chat infrastructure built on websockets for sending messages, typing indicators, and channel management.
Provides messaging APIs for conversational text experiences with programmable routing and webhook-based event handling.
Enables conversational assistants with chat integrations for building NLU-driven chat flows and tool calling.
Supports business messaging via WhatsApp with templates, messaging APIs, and webhook delivery events.
Implements chatbot-style interactions using HTTPS endpoints for sending messages, receiving updates, and handling commands.
Twilio Conversations
API-firstProvides chat and messaging APIs for building real-time conversations with delivery, presence, and rich messaging primitives.
Conversation webhooks that trigger on message and delivery events
Twilio Conversations stands out by pairing real-time messaging capabilities with a communications-grade developer API. It supports chat for web/native apps through programmable threads, participants, and message delivery events. Integrations with Twilio’s broader messaging and identity tooling help teams connect chat to verified phone and messaging channels. Built-in moderation and message management features support common customer service and internal collaboration workflows.
Pros
- Programmable conversations API with threads, participants, and message history
- Webhook-driven delivery events for reliable UI updates and workflows
- Scales for high message volumes with low-latency real-time delivery
- Message moderation and lifecycle controls reduce custom engineering
Cons
- More implementation effort than turnkey chat widget solutions
- State management across clients requires careful client-side handling
- Advanced customization increases complexity for small teams
Best For
Teams building communications-grade in-app chat with event-driven backends
More related reading
Sendbird
managed chatDelivers real-time chat infrastructure with SDKs for in-app messaging, group chats, and moderation tools.
Presence and message lifecycle events delivered through its real-time messaging APIs
Sendbird stands out for its developer-first approach to chat infrastructure with real-time messaging across web and mobile. It supports chat channels, group messaging, presence, and rich event-driven APIs for building custom chat experiences. Strong integration patterns include webhooks and modular SDKs that fit existing app architectures. Advanced workflow options like message updates and deletions support practical moderation and operational needs.
Pros
- Event-driven SDKs with webhooks for flexible backend integration
- Robust channel and group messaging models for scalable chat experiences
- Presence and delivery events support responsive UX states
Cons
- More engineering work than turnkey chat UI solutions
- Advanced customization often depends on deeper API and state handling
- Moderation and governance require more design effort to implement end-to-end
Best For
Product teams integrating chat into apps with custom UX and backend logic
MessageBird
omnichannelOffers customer engagement messaging APIs that support chat-style experiences across channels with programmable workflows.
Omnichannel Messaging APIs with delivery webhooks and channel routing
MessageBird stands out for combining omnichannel messaging with strong communications infrastructure. The platform supports conversational messaging via chat widgets and agent-style workflows, plus programmable contact and message routing. It also offers reliable delivery tooling through messaging APIs for SMS, voice, and WhatsApp channels. Businesses use it to power customer chat and proactive notifications with governance-friendly controls for templates and delivery events.
Pros
- Omnichannel reach across SMS, WhatsApp, and voice for unified messaging
- Programmable APIs with delivery events and message lifecycle visibility
- Customer chat entry points plus agent workflows for managed conversations
- Template and routing controls that support compliance-heavy operations
Cons
- Setup and channel configuration can feel complex without engineering support
- Advanced customization of chat experiences may require development work
- Workflow depth for agents can lag specialized chat-only contact centers
Best For
Mid-size teams building omnichannel chat and notification experiences
More related reading
CometChat
hosted chatProvides a hosted chat service and UI SDK for building scalable chat rooms, DMs, and moderation controls.
Embeddable CometChat widget for real-time website and support-channel messaging
CometChat stands out for shipping a chat experience that works as an embedded widget across websites and support portals. It delivers core chat capabilities like real-time messaging, conversation lists, and threaded or structured communication patterns for organized support workflows. Admin tooling focuses on managing users, channels, and routing so teams can standardize how messages flow to agents.
Pros
- Embeddable chat widget supports fast deployment into existing web flows
- Real-time messaging and conversation views support responsive support operations
- Admin controls cover channels and user management for clearer routing
Cons
- Advanced workflow automation depends on add-ons rather than core chat features
- Reporting depth for agent performance is limited compared with full helpdesk platforms
- Customization options can require engineering effort for deeper UI changes
Best For
Customer support teams embedding chat into websites without heavy platform migration
Stream Chat
realtime SDKSupplies an event-driven chat backend with client SDKs for realtime messaging, feeds, and customizable chat UIs.
Message events and webhooks for building custom moderation and chat workflows
Stream Chat stands out with a developer-first chat platform that ships real-time messaging primitives via APIs. It supports channels, presence, typing indicators, read receipts, moderation tooling, and message reactions across web and mobile clients. Built-in routing and event models make it suitable for embedding chat inside products that need custom workflows and permissions. The platform also provides analytics hooks and audit-friendly controls for message and user activity.
Pros
- Rich feature set includes typing, presence, read receipts, and reactions
- Channel and permission models support complex moderation and access rules
- Scales real-time message delivery with strong API and event primitives
Cons
- Setup and customization require solid backend and frontend engineering
- Operational tuning for latency, retention, and moderation needs careful design
- Native UI components are limited compared with full chat UI builders
Best For
Product teams embedding real-time chat with custom UX and permissions
Pusher Chatkit
realtimeSupplies realtime chat infrastructure built on websockets for sending messages, typing indicators, and channel management.
Event-driven chat server events for messages, members, and presence updates
Pusher Chatkit focuses on chat infrastructure APIs that handle presence, messaging, and event delivery for web/manufactured apps. Built-in webhooks and server events support real-time conversation updates without forcing a full chat UI framework. It also provides token-based connection patterns and stateful chat rooms, which reduces custom socket plumbing for common chat workflows.
Pros
- Real-time chat events for messages, users, and presence via structured APIs
- Token-based access and server-side event handling reduce custom connection logic
- Room and conversation primitives support common chat app flows quickly
- Webhook-style triggers integrate well with existing back-end services
Cons
- Chat UI building blocks are limited, so full interfaces still require custom work
- Operational complexity remains in managing events, retries, and message ordering
- Customization beyond basic room semantics takes more engineering effort
- Debugging production behavior can require careful event tracing
Best For
Teams integrating chat into existing apps with real-time messaging and presence
More related reading
Vonage Messages API
messaging APIsProvides messaging APIs for conversational text experiences with programmable routing and webhook-based event handling.
Delivery status webhooks that report message state changes for downstream chat handling
Vonage Messages API stands out for providing direct SMS and messaging delivery via a programmable API for conversational communication. The API supports sending text messages, handling delivery status webhooks, and managing message flow with programmable callbacks. It also integrates identity and regulatory-ready messaging capabilities through Vonage’s platform tooling, which reduces infrastructure work for chat-style notification and engagement use cases.
Pros
- Strong SMS and messaging sending capabilities with delivery status callbacks
- Webhook-driven delivery events support reliable message lifecycle tracking
- API-first design fits custom chat interfaces and notification workflows
Cons
- Limited chat UI features since it focuses on message transport
- Operational setup for templates, routing, and events adds integration overhead
- Debugging requires solid webhook and event observability practices
Best For
Teams building SMS-based chat notifications and engagement workflows
Rasa Assistant
conversational AIEnables conversational assistants with chat integrations for building NLU-driven chat flows and tool calling.
Custom actions with conversational slot and intent context
Rasa Assistant stands out for combining an open, workflow-driven approach to conversational AI with model training control. It supports building chatbots using natural language understanding and dialogue policies, then deploying assistants through chat channels. The platform also enables integration with external services and custom actions for business logic. This focus suits teams that want to shape intent, entities, and conversation behavior instead of relying on fixed conversational flows.
Pros
- End-to-end control over NLU, dialogue policies, and training data for tailored assistants
- Custom actions support real business workflows across databases and APIs
- Conversation graphs help debug and refine dialogue behavior over time
- Supports multiple deployment and channel integrations for chat experiences
Cons
- Building and tuning models requires ML knowledge and sustained iteration effort
- Dialogue policy management can feel complex for teams needing simple scripted bots
- Operational work like monitoring and retraining adds ongoing maintenance burden
Best For
Teams building custom chat assistants needing controlled NLU and dialogue behavior
More related reading
WhatsApp Business Platform
enterprise messagingSupports business messaging via WhatsApp with templates, messaging APIs, and webhook delivery events.
Webhooks for inbound message events tied to WhatsApp conversation automation
WhatsApp Business Platform stands out by bringing conversational commerce and customer support automation into the WhatsApp ecosystem. It enables verified business messaging, chatbot and workflow integrations, and message routing through developer APIs. Core capabilities include sending and receiving messages, using webhooks for real-time updates, and managing templates for outbound communication. It fits chat software scenarios that need reliable WhatsApp delivery patterns and strong integration points for support teams.
Pros
- Native WhatsApp reach with business messaging workflows via APIs
- Webhooks provide near real-time inbound message events for automation
- Message templates support compliant outbound communication at scale
- Conversation state can be managed through integrated backend systems
Cons
- Development effort is required for onboarding, API integration, and webhooks
- Template-based outbound messaging limits flexibility for spontaneous replies
- Moderation and compliance constraints add operational overhead
- Multichannel analytics require extra work in the integrating app
Best For
Support and automation teams building WhatsApp-first customer engagement
Telegram Bot API
bot messagingImplements chatbot-style interactions using HTTPS endpoints for sending messages, receiving updates, and handling commands.
Inline keyboards with callback queries for interactive, low-latency bot UX
Telegram Bot API stands out for its direct integration with Telegram’s existing messaging ecosystem and delivery infrastructure. It supports core chat-bot actions like sending and editing messages, handling updates via webhooks or long polling, and responding to user events such as text, commands, and callbacks. It also covers richer bot interactions through inline keyboards, custom reply markups, media sending, file handling, and group-specific features like channel posting and administrators workflows. Bot developers can implement conversational logic quickly while relying on Telegram for authentication, message routing, and client-side rendering.
Pros
- Fast setup with webhooks or long polling and simple update payloads
- Rich messaging support covers inline keyboards, callbacks, and message editing
- Media and file APIs handle images, documents, and server-side file retrieval
Cons
- Limited workflow orchestration compared with dedicated chat automation platforms
- State management is left to the bot, which increases implementation effort
- Custom UI control is constrained by Telegram’s client-first rendering model
Best For
Teams building Telegram-first chat bots for notifications, support, and lightweight automation
How to Choose the Right Chatt Software
This buyer’s guide helps teams choose the right Chatt Software by mapping real capabilities to concrete use cases. It covers Twilio Conversations, Sendbird, MessageBird, CometChat, Stream Chat, Pusher Chatkit, Vonage Messages API, Rasa Assistant, WhatsApp Business Platform, and Telegram Bot API.
What Is Chatt Software?
Chatt Software provides the messaging layer and chat-orchestration features needed to build real-time conversations, chatbot experiences, and customer support chat entry points. It solves problems like real-time message delivery, presence and lifecycle visibility, conversation routing, and webhook-driven automation for downstream workflows. Some tools focus on in-app chat infrastructure like Twilio Conversations and Stream Chat. Other tools focus on channel-first conversation delivery like WhatsApp Business Platform and Telegram Bot API.
Key Features to Look For
These capabilities determine whether chat works as a standalone experience, as an embedded UI, or as a fully programmable communications workflow.
Conversation webhooks and delivery lifecycle events
Webhook-driven events enable reliable UI updates and automation when messages are created, delivered, or updated. Twilio Conversations triggers conversation webhooks on message and delivery events, and Vonage Messages API provides delivery status webhooks for message state changes.
Presence and message lifecycle visibility
Presence and lifecycle events improve user experience by showing who is online and what happened to each message. Sendbird delivers presence and message lifecycle events through its real-time messaging APIs, and Pusher Chatkit provides event-driven updates for messages, members, and presence.
Channel routing and omnichannel delivery support
Routing and omnichannel delivery let chat-style workflows reach users across multiple communication channels with governance controls. MessageBird combines omnichannel messaging APIs with delivery webhooks and channel routing, and WhatsApp Business Platform supports verified business messaging with template-based outbound controls and inbound webhooks.
Embedded chat widget and hosted chat interfaces
An embeddable widget reduces the time required to ship chat in existing web flows with conversation lists and real-time messaging UI. CometChat stands out with an embeddable CometChat widget for real-time website and support-channel messaging.
Customizable chat primitives for permissions, threads, and reactions
Chat primitives like channels, permissions, read receipts, typing indicators, and reactions support richer experiences inside products. Stream Chat includes typing, presence, read receipts, and reactions, and Twilio Conversations supports programmable threads, participants, and message history.
Conversation AI control via NLU, dialogue policies, and custom actions
Controlled assistant behavior matters for teams that need reliable intent handling and business workflow execution. Rasa Assistant enables end-to-end control over NLU and dialogue policies and supports custom actions with conversational slot and intent context.
How to Choose the Right Chatt Software
The best fit depends on whether chat must be embedded as a UI, integrated as infrastructure, routed across channels, or automated with AI and orchestration.
Define the target conversation type and where the UI lives
If the goal is an embedded chat experience in existing web or support portals, CometChat provides a hosted chat widget with real-time messaging views and conversation management. If the goal is to build a fully custom chat UI inside an app, Stream Chat and Sendbird provide client SDKs and event models that support custom UX and permissions.
Match integration depth to available engineering capacity
If engineering capacity supports backend event wiring and careful client state management, Twilio Conversations and Stream Chat deliver communications-grade messaging primitives and message events for custom workflows. If the team wants a faster path to chat without heavy platform migration, CometChat focuses on embeddable deployment.
Confirm webhook coverage for the automation and observability required
When the workflow needs dependable delivery tracking, Twilio Conversations triggers conversation webhooks on message and delivery events and Vonage Messages API provides delivery status webhooks. When the workflow needs inbound automation tied to a specific channel, WhatsApp Business Platform delivers near real-time inbound message events via webhooks and Telegram Bot API delivers updates via webhooks or long polling.
Choose presence, lifecycle events, and moderation capabilities aligned to the user experience
For UX features like online presence, Sendbird and Pusher Chatkit provide presence and event updates that keep interfaces responsive. For moderation and lifecycle controls, Twilio Conversations includes message moderation and lifecycle controls and Stream Chat includes moderation tooling tied to event primitives.
Align channel reach and routing needs to the messaging platform
For omnichannel chat and notification use cases across SMS, WhatsApp, and voice, MessageBird provides omnichannel messaging APIs with delivery events and channel routing. For WhatsApp-first customer engagement, WhatsApp Business Platform combines verified business messaging workflows with template management and inbound webhooks.
Who Needs Chatt Software?
Chatt Software fits teams that need real-time conversation capability, channel delivery, or conversational automation embedded into products and support workflows.
Teams building communications-grade in-app chat with event-driven backends
Twilio Conversations is built for this audience with programmable threads, participants, message delivery events, and conversation webhooks that trigger on message and delivery events. Stream Chat also fits teams that need custom UX plus event primitives for moderation and chat workflows.
Product teams integrating chat into apps with custom UX and backend logic
Sendbird is designed for product teams that want event-driven SDKs and presence plus message lifecycle events. Stream Chat is a strong option when typing, read receipts, and reactions are required alongside scalable channels and permissions.
Mid-size teams building omnichannel chat and notification experiences
MessageBird targets teams needing conversational touchpoints across channels with programmable APIs, delivery webhooks, and channel routing controls. Vonage Messages API fits SMS-based conversational notifications because it centers on sending messages and delivery status callbacks.
Customer support teams embedding chat into websites without heavy platform migration
CometChat suits support teams that want to embed a chat widget quickly while using admin controls for users, channels, and routing. Telegram Bot API fits support workflows that prioritize interactive notifications through inline keyboards and callback queries.
Common Mistakes to Avoid
Common failures come from mismatching chat infrastructure depth to UI expectations, or from underestimating webhook, state, and workflow orchestration requirements.
Buying for a ready-made chat UI when the real need is programmable infrastructure
Stream Chat and Sendbird provide event-driven infrastructure and client SDKs, and they require solid backend and frontend engineering to reach a polished custom experience. CometChat avoids this mistake by delivering an embeddable widget with conversation views designed for quick deployment.
Ignoring webhook coverage for delivery tracking and automation
Twilio Conversations and Vonage Messages API both support delivery and status webhooks, and they matter when chat actions depend on message state. WhatsApp Business Platform and Telegram Bot API also rely on webhook or update delivery so automation does not miss inbound events.
Underestimating state management across clients
Twilio Conversations requires careful client-side handling for state across clients, and Pusher Chatkit operational complexity increases with event retries and ordering. Sendbird and Stream Chat also depend on proper event handling because advanced customization and moderation design require deeper integration work.
Choosing a chatbot framework that does not match the orchestration goal
Rasa Assistant focuses on NLU-driven assistants with custom actions and sustained ML iteration effort. Telegram Bot API centers on bot interactions like inline keyboards and callback queries and leaves workflow orchestration and state management to the bot implementation.
How We Selected and Ranked These Tools
We evaluated every tool on three sub-dimensions: features with a weight of 0.4, ease of use with a weight of 0.3, and value with a weight of 0.3. The overall rating is the weighted average of those three dimensions using overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. Twilio Conversations separated itself from lower-ranked options by combining a high feature score with practical event delivery through conversation webhooks on message and delivery events, which supports reliable downstream workflows.
Frequently Asked Questions About Chatt Software
Which option is best for embedding real-time chat directly into a web or native app with event-driven backends?
Twilio Conversations fits teams that need programmable threads and message delivery events exposed through webhooks. Stream Chat also supports real-time messaging with channels, presence, read receipts, and message events that can drive custom moderation workflows.
How do Sendbird and Stream Chat differ for building a custom chat UX with presence and message lifecycle events?
Sendbird is strong for presence and message lifecycle events delivered through real-time messaging APIs plus webhook patterns. Stream Chat adds chat primitives like typing indicators, reactions, and audit-friendly controls using message events and webhooks.
Which tool supports omnichannel chat and routing across WhatsApp, SMS, and other channels from one conversational layer?
MessageBird supports omnichannel messaging with programmable contact and message routing plus delivery webhooks. WhatsApp Business Platform focuses specifically on WhatsApp-first conversational flows using verified business messaging, templates, and inbound webhooks.
What choice minimizes front-end work when a chat widget must be added to existing websites and support portals?
CometChat provides an embeddable widget for real-time website and support-channel messaging. Pusher Chatkit lowers UI and socket plumbing by handling presence, messaging, and server events so teams can build their own interface.
Which platform is a better fit for customer support workflows that need conversation lists, structured threads, and admin-driven routing?
CometChat includes conversation lists and threaded or structured communication patterns, with admin tooling for user and channel management. Stream Chat supports channels and routing plus moderation tooling, but teams usually implement support workflow structure on top of its events.
Which option is best for chat-style experiences built on direct message delivery APIs and delivery status webhooks?
Vonage Messages API supports text delivery with delivery status webhooks and programmable callbacks so downstream systems can react to message state changes. Telegram Bot API supports sending and editing messages while receiving updates via webhooks or long polling, enabling bot-driven chat interactions.
Which tool is most suitable for building WhatsApp-based automation with templates and real-time inbound updates?
WhatsApp Business Platform supports verified business messaging, outbound template management, and webhooks for inbound message events. MessageBird can also power omnichannel conversational experiences, but WhatsApp-first routing and template controls are core to the WhatsApp Business Platform.
How do Twilio Conversations and Pusher Chatkit compare for presence and real-time conversation updates?
Twilio Conversations emphasizes programmable threads plus conversation and delivery webhooks tied to message events. Pusher Chatkit focuses on presence and event delivery for stateful chat rooms via server events and webhooks without forcing a full chat UI framework.
Which option works for teams that need conversational AI with controlled intent and dialogue behavior rather than fixed scripted flows?
Rasa Assistant supports training control for natural language understanding and dialogue policies, then deploying assistants through chat channels. Telegram Bot API and WhatsApp Business Platform can run bots, but Rasa Assistant is designed to shape intent, entities, and dialogue behavior through model-driven policies.
What common implementation issue occurs across these tools, and which product APIs help detect it quickly?
Chat systems often face delivery-state mismatches between the client view and backend processing, especially when messages fail or are delayed. Twilio Conversations and Vonage Messages API expose message or delivery events through webhooks, while Sendbird provides presence and message lifecycle event hooks that help reconcile client state.
Conclusion
After evaluating 10 communication media, Twilio Conversations stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Referenced in the comparison table and product reviews above.
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