Most business intelligence tools were built for analysts. They assume you have a data warehouse, a team of people who write queries, and weeks to spare waiting on a report. Most leaders have none of those things. They have a board meeting at 9 AM and a dashboard that refuses to load. So they do what everyone does now: paste a spreadsheet into ChatGPT or Claude and hope something useful comes back. But a chat window only answers the question you already knew to ask, and you’re paying for it alongside the BI stack it hasn’t replaced.
Othor AI described in the press as a new kind of business intelligence and named an AI startup to watch in 2026, takes a different starting point entirely. Instead of asking leaders to learn a tool, it borrows decision-making tradecraft from elite intelligence agencies and delivers a single, plain-language briefing every morning at 6 AM. Connect your data sources once, and AI agents handle everything from raw ingestion through pattern detection to a synthesised Big Picture report. No queries. No dashboards to configure. No analyst bottleneck.
The Bangalore-based team behind it, led by founder Unni Koroth, a former Head of Labs and Business Intelligence at Whatfix and MIT TR35 awardee, built this after watching the same failure repeat across organisations: business users starved for answers, analysts buried in ticket queues, and expensive BI tools used by maybe 20% of the people who were supposed to benefit from them. The engine itself was built from the ground up by cofounder and CTO Nekender Shekhawat, a data science engineer who took the entire agent architecture from zero to one. Othor is their answer.
What Othor AI Actually Does: Key Features
The Agent Pipeline: Four Altitudes, One Morning Brief
Othor runs a four-stage pipeline overnight without any human involvement. Data Agents read directly from connected sources, no schema migration required. Analytical Agents surface 50-plus metrics, write narratives, and generate forecasts. Decision Briefs aggregate those outputs into structured reports covering current state, key drivers, and cross-metric correlations. Finally, the Big Picture Agent synthesises everything into one daily report delivered at 6 AM in plain English. Each stage keeps less than the last, so what lands in your inbox is already filtered for relevance.
Data Integration Across 100-Plus Sources
The Data Integration Agent connects to over 100 data sources where they already live. There is no migration, no warehouse setup, and no schema instrumentation to fiddle with. You plug in a source and the agents start working. The free plan supports two sources; the Premium plan supports ten, with more granularity per table.
Document Intelligence and Chat with Data
Beyond structured data, Othor can pull insights directly from documents uploaded to the platform. This is genuinely useful for teams whose intelligence lives partly in PDFs, reports, or contracts. The Chat with Data feature lets anyone ask questions in plain English across multiple connected sources simultaneously, with the system running semantic, statistical, and cross-source analysis to give accurate answers rather than surface-level lookups.
LLM Switcher: Bring Your Own Models
This is a feature that separates Othor from most tools in this space. You can assign different language models to different tasks inside the platform. Use ChatGPT for one task, Claude for another, Gemini for chat. You can also bring your own API keys. For teams with existing LLM agreements or specific compliance requirements, this flexibility matters a lot.
A Tuesday Morning With Rajesh, CEO of a Large Enterprise
Rajesh runs a manufacturing and distribution group with 14,000 employees, four business units, and operations in nine countries. Every Tuesday his chief of staff assembled a leadership pack: numbers from four ERP instances, a regional sales export, a supply chain sheet, and a finance summary that arrived last and contradicted at least one of the others. The pack took three analysts two days to build. By the time Rajesh read it, the oldest number in it was eleven days old, and the meeting that followed was mostly business unit heads defending their version of the same metric.
After connecting the group’s core systems to Othor over a week, the first Big Picture report landed on a Tuesday at 6 AM. It ran to one page. It opened with the thing no one had raised: margin in the Southeast Asia unit had compressed for six consecutive weeks, and the driver was not pricing, as the regional head had assumed, but a shift in product mix toward a lower-margin SKU that had quietly become the unit’s second-highest volume line. Underneath sat a cross-metric correlation between that SKU’s growth and a distributor incentive program launched in March. The recommended next question had a name attached: ask the Southeast Asia GM whether the March incentive terms were still active, and what they were designed to reward.
Rajesh read it in seven minutes before his first call. He forwarded it to the GM with two lines. By the time the leadership review started that afternoon, the incentive terms were already on the agenda with the answer attached. No one spent the first twenty minutes arguing about whose margin number was correct, because everyone had read the same page at the same hour.
The change that mattered was not the report. It was that Rajesh stopped walking into meetings asking what happened and started walking in asking why.
How Othor Builds Your Intelligence Pipeline
Step 1: Connect
Link one or more data sources using the Data Integration Agent. No migration, no warehouse. The agent reads from sources where they already live. This takes minutes, not days.
Step 2: Agents Discover and Forecast
Each Analytical Agent automatically identifies 50-plus metrics from your data, generates narratives for the important ones, and produces forecasts. You define nothing manually. The system observes everything first and decides what matters second.
Step 3: Synthesised Intelligence Arrives at 6 AM
Agent outputs merge into Decision Briefs and one Big Picture report. Drivers, correlations, anomalies, and the one question worth asking today, all in plain language, delivered to your inbox before your first meeting.
Step 4: Dig Deeper When You Need To
Open the app to chat with your data, explore dashboards, activate specialised agents, or add more sources. Every addition sharpens the picture. You can also share reports across the organisation, from the CEO level down to frontline managers.
Othor AI Pricing
Othor offers a genuinely free starting tier alongside a paid Premium plan and a custom Enterprise tier.
- Free ($0/month): 2 Analytical Agents, 2 data sources, 2 dashboards, Chat with Data, up to 2 team members, 20 requests per day and 50,000 tokens per month.
- Premium ($200/month): 10 Analytical Agents, custom agents, 10 data sources, 10 dashboards, Big Picture Agent, Document Intelligence Agent, Decision Briefs, PDF export, email notifications, up to 10 team members, and the LLM Switcher. Chat is raised to 500 requests per day and 2,000,000 tokens per month.
- Enterprise (contact sales): Everything in Premium, with the caps removed. Unlimited agents, data sources, dashboards, and team members, plus on-premise hosting so the platform runs entirely inside your own infrastructure. Also includes SSO and advanced access controls, contractual SLA and uptime guarantees, a dedicated account manager, and custom onboarding and training for your team.
Both plans include the Data Integration Agent, which reads directly from connected sources without warehouse migration or schema work.
The Enterprise tier is where the deployment question gets answered. Premium and Free run on Othor’s SaaS cloud; Enterprise lets you self-host, which matters if your data can’t leave your environment for regulatory or policy reasons. Combined with the LLM Switcher, which lets you bring your own model keys and assign different models to different tasks, it means neither your data nor your model choice is locked to a vendor.
A 30-day money-back guarantee applies to all the paid plans, and there is currently a 3-month free promotion running through the Product Hunt launch.
Who Should Try Othor AI
If you lead a team, run a business unit, or sit in the C-suite and you are tired of waiting on analysts or wrestling with dashboards that tell you what happened but not why, Othor AI is worth serious attention. It is particularly well-suited to small and mid-size organisations that want enterprise-grade intelligence without hiring a full analytics team. Start free and see what your data has been trying to tell you at othor.ai.
