Arka

Arka (arka.so) is an AI-native business intelligence and analytics platform that lets teams query all their data in natural language, auto-generate dashboards, and automate insights without SQL or traditional BI modeling.

​Pricing

Plan	Price (per month)	Best For
Individuals (Plus)	$20	Individual professionals ​
Teams	$100 + $20/seat	Growing teams

What Arka does

• Connects to 100+ data sources (warehouses, databases, SaaS tools, tickets, docs, logs) and builds a unified query layer over structured and unstructured data, so users can “connect once and ask anything.”​
• Acts as an AI copilot for data: users type questions in plain English, and Arka’s agents pick the best AI model per query, join data across tools, and return charts, tables, and narratives in seconds.​
• Replaces or consolidates tools like Amplitude, Mixpanel, Looker, Databricks dashboards, and spreadsheets by offering self-serve analytics, automated reports, and interactive dashboards from one platform.​

Core features

• Natural-language analytics: Ask questions (e.g., “What’s our 30‑day retention?” or “Which accounts are at risk?”) and get instant visual answers without SQL or semantic layers.​
• AI-native dashboards: Instead of static filters and sliders, dashboards are generated and explored by conversational queries, making them more accessible to non-technical stakeholders.​
• Automated workflows and alerts: Create scheduled reports, weekly insights emails, and proactive trend alerts to catch new patterns in churn, product usage, revenue, or pipeline health.​

Data, security, and deployment

• Connects directly to data sources (e.g., Postgres, Databricks, product analytics tools, support systems, collaboration tools like Slack/Jira) without requiring data migration into a separate warehouse.​
• Enterprise-first security model: respects existing role-based access controls, supports on‑prem/self-hosted deployment, and is designed so customer data stays in the company’s environment rather than being stored by Arka.​
• Works with customers’ own compute and AI models, including support for custom and on‑prem LLMs, to satisfy stricter enterprise governance and compliance needs.​

Target users and use cases

• Product teams: Analyze feature adoption, user journeys, cohorts, and experiment results, with Mixpanel/GA-style insights powered by natural-language queries instead of manual exports.​
• Revenue and GTM teams: Monitor pipeline health, conversion funnels, at-risk accounts, and expansion opportunities in real time, often combining CRM and product usage data into a single view.​
• Executives and data leaders: Get board-ready metrics, drill into any KPI on demand, reduce reliance on data-team tickets, and modernize legacy BI stacks with AI-native self-serve analytics.​