AI Native Software Building for Modern Engineering Teams

Write, build & deploy enterprise ready data streaming applications with specialized AI agents and run them in production

Teams that Shifted Left

Shift Intelligence Left, Act in Real-Time

Data flows continuously, but it can take several steps before it becomes useful. As it moves through ingestion, storage, queries, and analytics, the opportunity to act can move further away from the moment it happened.

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With Condense
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With Condense
With CondenseBefore Condense
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With Condense

Meet Vapr : Specialized AI Agent for
Multi-Layer Data Operations on Condense

Meet Vapr : Specialized AI Agent for Multi-Layer Data Operations on Condense

Vapr is an AI agent that functions as an autonomous supervisor and intelligent routing interface, designed to assist users by orchestrating a hierarchical workforce of specialized agents within the Condense platform, where simple tasks are routed for immediate action via tool-specific L1 specialist agents, while complex requirements are delegated to L2 agents for multi-step planning and logical design.

Agents in Condense

Make Intelligence Part of the Data Flow

Condense brings intelligence closer to the source, enabling real-time data to be processed, understood, and acted on as it moves. By shifting intelligence into the data flow, decisions can happen closer to where the data is generated, without waiting for it to travel through multiple layers of infrastructure.

Connectors

Bring data closer to the point of action with ready-to-use and industry-specific connectors

Application Lifecycles

Build, deploy, version, and scale intelligent data applications as part of the streaming pipeline with AI-assisted development and native execution

Monitoring & Alerts

Detect and act on pipeline and service condition with configurable alerts for memory, health, and system states with actionable realtime AI insights

Infra and Ops

Move infrastructure complexity out of the development cycle with automated provisioning and managed operations

workflow image

Make Intelligence Part of the Data Flow

Condense brings intelligence closer to the source, enabling real-time data to be processed, understood, and acted on as it moves. By shifting intelligence into the data flow, decisions can happen closer to where the data is generated, without waiting for it to travel through multiple layers of infrastructure.

Connectors

Bring data closer to the point of action with ready-to-use and industry-specific connectors

Application Lifecycles

Build, deploy, version, and scale intelligent data applications as part of the streaming pipeline with AI-assisted development and native execution

Monitoring & Alerts

Detect and act on pipeline and service condition with configurable alerts for memory, health, and system states with actionable realtime AI insights

Infra and Ops

Move infrastructure complexity out of the development cycle with automated provisioning and managed operations

workflow image

Make Intelligence Part of the Data Flow

Condense brings intelligence closer to the source, enabling real-time data to be processed, understood, and acted on as it moves. By shifting intelligence into the data flow, decisions can happen closer to where the data is generated, without waiting for it to travel through multiple layers of infrastructure.

Connectors

Bring data closer to the point of action with ready-to-use and industry-specific connectors

Application Lifecycles

Build, deploy, version, and scale intelligent data applications as part of the streaming pipeline with AI-assisted development and native execution

Monitoring & Alerts

Detect and act on pipeline and service condition with configurable alerts for memory, health, and system states with actionable realtime AI insights

Infra and Ops

Move infrastructure complexity out of the development cycle with automated provisioning and managed operations

Vapr - Your AI Agent for SDLC Workflows

One conversation takes a data streaming app from prompt to production, covering planning, dev, deployment, testing, promotion, &continuous monitoring

01 _ Prompt

Describe the data streaming application requirement in the Vapr chat

02 _ Plan

03 _ Develop Apps

04 _ Publish & Deploy

05 _ Monitor

Automation Image

01 _ Prompt

Describe the data streaming application requirement in the Vapr chat

02 _ Plan

03 _ Develop Apps

04 _ Publish & Deploy

05 _ Monitor

Automation Image

Enterprise Grade Data Platform

Security and Data Sovereignty

Use Case Image

Auto Scalability

Scale streaming workloads automatically as data volumes and processing demands grow

BYOC

Deploy within the customer’s own AWS, Azure, or GCP environment

Governance & RBAC

Audit trails, RBAC, and ACLs for controlled, compliant data streaming operations

99.95 % Uptime SLA

Round-the-clock support for production workloads, incidents, and critical streaming operations

Use Case Image

Auto Scalability

Scale streaming workloads automatically as data volumes and processing demands grow

BYOC

Deploy within the customer’s own AWS, Azure, or GCP environment

Governance & RBAC

Audit trails, RBAC, and ACLs for controlled, compliant data streaming operations

99.95 % Uptime SLA

Round-the-clock support for production workloads, incidents, and critical streaming operations

Use Case Image

Auto Scalability

Scale streaming workloads automatically as data volumes and processing demands grow

Governance & RBAC

Audit trails, RBAC, and ACLs for controlled, compliant data streaming operations

BYOC

Deploy within the customer’s own AWS, Azure, or GCP environment

99.95 % Uptime SLA

Round-the-clock support for production workloads, incidents, and critical streaming operations

How VECV Streams 250K + Connected Vehicles with Condense

0% ↓

0% ↓

Cloud Spend

0% ↓

0% ↓

Dev & Ops Effort

0%

0%

Data Localization

0x

0x

Go-to-Market

Connect Condense to AI Workflows

Condense MCP gives AI assistants a secure way to explore Condense environments, understand runtime activity, access documentation, and deploy connectors through a single AI workflow.

Condense MCP gives AI assistants a secure way to explore Condense environments, understand runtime activity, access documentation, and deploy connectors through a single AI workflow.

Choose a Plan

Choose the plan that fits your automation needs from small teams to enterprise operations

Hobby

For solo developers and small teams

What's Included:

Up to 2 environments

Up to 3 user seats

Up to 10 services

Team

Most Popular

For startups & mid-sized dev teams

What's Included:

Up to 5 environments

Up to 15 user seats

Up to 50 services

Enterprise

For orgs having multiple environments

What's Included:

Custom environments

Custom seats

Custom services

Hobby

For solo developers and small teams

What's Included:

Up to 2 environments

Up to 3 user seats

Up to 10 services

Team

Most Popular

For startups & mid-sized dev teams

What's Included:

Up to 5 environments

Up to 15 user seats

Up to 50 services

Enterprise

For orgs having multiple environments

What's Included:

Custom environments

Custom seats

Custom services

Frequently Asked Questions

Quick answers about building and automating workflows with Aoutive AI.

What is Condense?

Condense is an AI-native real-time data streaming platform that brings intelligence closer to the source. It enables engineering teams to build, deploy, and continuously run applications that process and act on data in real time. Built-in agents help teams build, test, monitor, and manage the infrastructure, while autoscaling and observability keep applications running reliably in production

What does Condense do?

What does “intelligence closer to the source” mean?

Why is Condense AI-native?

What can be built with Condense?

Can Condense be deployed in the customer's cloud?

What is Condense?

Condense is an AI-native real-time data streaming platform that brings intelligence closer to the source. It enables engineering teams to build, deploy, and continuously run applications that process and act on data in real time. Built-in agents help teams build, test, monitor, and manage the infrastructure, while autoscaling and observability keep applications running reliably in production

What does Condense do?

What does “intelligence closer to the source” mean?

Why is Condense AI-native?

What can be built with Condense?

Can Condense be deployed in the customer's cloud?

Try
Condense

Yourself !

Try Condense Yourself !

Try Condense

Yourself !

Condense Logo

Redefining the Future of
Real-Time Data Streaming

Subsribe to Our Newsletter

By subscribing, you agree to our Terms & Conditions

© 2026 Zeliot. All rights reserved.

Condense Logo

Redefining the Future of
Real-Time Data Streaming

Subsribe to Our Newsletter

By subscribing, you agree to our Terms & Conditions

© 2026 Zeliot. All rights reserved.

Condense Logo

Redefining the Future of
Real-Time Data Streaming

Subsribe to Our Newsletter

By subscribing, you agree to our Terms & Conditions

© 2026 Zeliot. All rights reserved.