Lang.ai
Lang.ai is an Artificial Intelligence tool dedicated to enhancing customer experiences (CX) by facilitating the extraction of granular insi...
Last verified:
What is Lang.ai?
Lang.ai is an enterprise AI platform that transforms unstructured complex data into actionable business insights by leveraging your existing Snowflake data infrastructure. The platform connects unstructured customer interactions—such as support tickets, chat logs, survey responses, and feedback—with revenue-driving metrics like retention, conversion, and sales. Lang.ai deploys custom Snowflake AI Agents that derive actionable priorities from customer interactions, enabling data teams to build and deploy AI-powered analytics tools without complex setup or AI expertise.
Key features include custom AI agents tailored for specific business goals like retention, contact reasons analysis, conversion optimization, NPS improvement, and cross-selling. The platform finds correlations between unstructured data and business metrics, contextualizes insights with real Snowflake data based on agent goals, and processes enterprise data volumes without hitting LLM context window limits—all within Snowflake's security perimeter. Additional features include Slack integration for delivering insights directly to teams, the ability to get a complete view from all customer touchpoints, spotlight insights that adapt as priorities change, and easy setup with understandable AI agents.
Lang.ai is designed for data teams, product managers, customer success teams, and operations managers at enterprises that already use Snowflake. The platform serves industries including fintech, healthtech, retail, banking, and healthcare. It helps businesses achieve documented outcomes including 93% improvement in retention, 53% in conversion, and 45% in sales by connecting user needs with purchase behavior. The solution enables teams to automate time-consuming data engineering, identify emerging trends and issues in weekly reviews, tag conversations automatically, and trigger alerts with minimal setup and strong data governance.
Lang.ai pricing
Pricing model: Free
Lang.ai pricing is based on the number of rows processed per AI agent each month with volume-based discounts. First 5,000 rows/month: $0.30 per row. Over 5,000 rows/month: $0.25 per row. Each new agent includes a 2-week free trial period regardless of rows processed. One-time agents that don't process new data after initial analysis remain free. Cost examples: Small datasets (5,000 rows) = $1,500, Medium datasets (20,000 rows) = $5,250, Large datasets (100,000+ rows) = custom pricing. For volumes exceeding 25,000 rows, contact Lang.ai for custom pricing and POC. Snowflake infrastructure costs (compute pools, data warehouse, queries) are additional charges billed directly by Snowflake through your Snowflake account. No minimum commitments, install fees, or platform charges. Billing occurs monthly, one month in arrears.
Lang.ai pros
- Built directly on Snowflake infrastructure for seamless integration
- No complex AI setup or expertise required for data teams
- Processes enterprise data volumes without LLM context window limits
- All processing stays within Snowflake's security perimeter
- Custom AI agents for retention, conversion, NPS, and cross-selling goals
- Find correlations between unstructured data and revenue metrics
- Contextualizes insights with real Snowflake data automatically
- Slack integration delivers insights to teams in real-time
- Easy setup with understandable AI agents
- Provides complete view from all customer touchpoints
- Automates tagging and repetitive actions in real-time
- Volume-based discounts automatically apply as usage increases
- Each new agent includes 2-week free trial period
- One-time agents that don't process new data remain free
- No minimum commitments, install fees, or platform charges
- Spotlight insights adapt as business priorities change
- Drives documented 93% retention, 53% conversion, 45% sales improvement
- Auto-aggregates insights by customer segments for deeper analysis
- Export insights as CSV for further analysis
- Trusts enterprise data governance without security headaches
Lang.ai cons
- Requires existing Snowflake account with ACCOUNTADMIN access
- Pricing based on rows processed can be expensive for large datasets
- 5,000 rows costs approximately $1,500 per agent
- 20,000 rows costs approximately $5,250 per agent
- Snowflake infrastructure costs billed separately from Lang.ai fees
- Custom pricing required for volumes exceeding 25,000 rows/month
- Pricing applied per agent rather than aggregated across all agents
- No consumption limits or detailed usage analytics yet available
- Billing occurs monthly one month in arrears
- Each row processed counts toward monthly total even if same row analyzed repeatedly
Frequently asked questions about Lang.ai
What is Lang.ai and what does it do?
Lang.ai is an enterprise AI platform that transforms unstructured complex data into actionable business insights by leveraging your existing Snowflake data. It connects unstructured customer interactions—support tickets, chat logs, survey responses, feedback—with revenue-driving metrics like retention, conversion, and sales. The platform deploys custom Snowflake AI Agents that derive actionable priorities from customer interactions, driving retention and growth without requiring complex setup or AI expertise.
How does Lang.ai pricing work?
Lang.ai pricing is based on the number of rows processed per AI agent each month. First 5,000 rows/month cost $0.30 per row, and over 5,000 rows/month cost $0.25 per row. Each new agent includes a 2-week free trial period regardless of rows processed. Pricing is applied per agent, not aggregated across all agents. Volume discounts automatically apply as usage increases. Snowflake infrastructure costs are billed separately through your Snowflake account.
Do I need AI expertise to use Lang.ai?
No, Lang.ai enables data teams to build and deploy AI-powered analytics tools for business teams without the need for complex setup or AI expertise. The platform features easy setup, understandable AI agents, and actionable insights with zero hassle.
What data sources does Lang.ai support?
Lang.ai leverages your existing Snowflake data and works with unstructured text data including customer feedback entries, support tickets, chat logs, survey responses, and any other data you analyze. The platform collects insights from all customer touchpoints, providing a complete view rather than fragmented data.
How long does it take to set up Lang.ai?
Lang.ai makes getting user insights quick with easy setup. You install the Lang.ai Native App via the Snowflake Marketplace UI or SQL script, grant necessary privileges including BIND SERVICE ENDPOINT and CREATE WAREHOUSE, activate the application, and you can create and run your first AI Agent immediately.
Can I integrate Lang.ai insights with other tools?
Yes, Lang.ai offers Slack integration that delivers insights directly to your team, keeping everyone aligned on customer-driven priorities in real-time. You can set up the Slack integration to automate insight delivery, and you can also download data from active filters by clicking Download CSV.
What business outcomes does Lang.ai deliver?
Lang.ai delivers documented business value including 93% improvement in retention, 53% in conversion, and 45% in sales by connecting user needs with purchase behavior. The platform helps drive retention and growth, automates tagging and repetitive actions in real-time for every support conversation, and turns raw communication into Revenue, Retention, and CX outcomes.
Is my data secure with Lang.ai?
Yes, Lang.ai processes enterprise data volumes all within the security perimeter of Snowflake. The platform turns unstructured feedback into actionable insights without security headaches by deploying AI agents that work directly inside Snowflake, ensuring strong data governance.
What happens after the 2-week free trial?
After the 2-week trial period ends, standard pricing applies based on rows processed at $0.30 per row for the first 5,000 rows and $0.25 per row for rows over 5,000. One-time agents that don't process new data after the initial analysis remain free. You will still need to pay Snowflake storage and compute costs in all cases.
Can I customize AI agents for my specific business needs?
Yes, Lang.ai allows you to create custom agents that derive actionable priorities from customer interactions. You can select predefined agents or create custom ones to meet your needs, add basic information about your organization to help the AI Agent understand your business context, and adapt your view as priorities change with Spotlight Insights to ensure you always see what's most relevant for your company.