Questions teams ask before they connect their company context.

OpsTower is the engine for AI-native startups. It connects the systems your company runs on, gives agents scoped context, and turns scattered company data into reports, tickets, investigations, priorities, and reusable knowledge.

OpsTower is built for lean startup teams where founders, product, engineering, QA, support, growth, and operators all need to move faster without opening every tool by hand. It is especially useful when the same small team owns strategy, execution, debugging, customer feedback, and reporting.

AI-native startups can move faster, but only if repeatable operating work is automated too. Employees should spend their time making judgment calls, prioritizing, and deciding what to do next, not manually querying analytics, support, logs, tickets, databases, ads, and docs every morning.

A closed loop means OpsTower does not stop at a dashboard or summary. The system connects signals, explains what changed, identifies what deserves attention, and helps move the next step into a report, ticket, investigation, or recurring operating rhythm.

Dashboards and monitoring tools show data in the place where the data lives. OpsTower gives agents context across tools, so they can connect product metrics, customer feedback, logs, code, revenue, tickets, and market signals. The output is a priority, explanation, report, ticket, or investigation path, not just another chart to interpret.

Start with one loop worth closing. For product and growth, connect analytics plus revenue or ads. For engineering and QA, connect logs, Sentry, source code, and ticketing. For founder workflows, connect the systems that describe your daily pulse: product metrics, revenue, support, tickets, and any custom API or MCP server that carries company context.

No technical background is needed to read reports or ask questions in chat. Setup may involve OAuth, API keys, or database credentials, so a technical teammate is helpful for initial connections. Day to day, the product is designed for founders and operators as much as developers.

Agents are configured workers with a job, a model, a prompt, selected integrations, and optional knowledge. They can run on a schedule for recurring reports or work in chat when someone needs to investigate a live question.

Ask the kinds of questions that usually require multiple tabs: why signups dropped, whether a launch changed activation, which customers hit an error, what campaign drove a spike, whether support complaints match a recent release, or what should be prioritized before standup.

Use scheduled reports for loops you already know you need: daily priorities, weekly product health, systems operations, campaign reviews, or market scans. Use chat when the question is live, ambiguous, or investigative. The two modes reinforce each other because reports and chat history can become context for later work.

Only the context you give it. Each agent has selected integrations, instructions, attached files, custom knowledge, report context, conversation history, and optional access to other agents. That scoping keeps the agent focused and avoids giving every agent access to every company system.

Yes. Agent-to-agent context lets one agent ask another scoped question. For example, a product-focused agent can ask a debugger agent about errors during a launch window without needing direct access to every logging or code connection itself.

Yes. You can create specialist agents with custom instructions, selected integrations, model choices, and their own knowledge. Teams commonly create agents for product analysis, debugging, growth, payments, customer support, internal operations, or a specific part of the product.

A good agent should say what it can and cannot see, ask for missing context, or suggest the connection needed to answer properly. OpsTower is designed around grounded work from connected sources, not pretending to know what is outside its context.

Agents handle reports, investigations, and tickets today. Employees are the next phase: persistent operators for recurring company loops. They are meant to keep watch, build priorities, and coordinate repeated work as OpsTower moves from an intelligence layer toward a true operating layer.

OpsTower supports PostHog, Google Analytics 4, Amplitude, and Mixpanel. Agents can use these sources for product health, activation, retention, campaign impact, launch analysis, and founder reporting.

Yes. OpsTower integrates with Sentry for error tracking. The Debugger agent can query Sentry issues with full stack traces, error frequency trends, and release health data. This lets agents surface overnight error spikes and group related issues automatically.

Yes. OpsTower connects to Stripe, Paddle, Chargebee, and Braintree for payment analytics. Agents can query subscriptions, revenue transactions, customers, disputes, and product catalogs, so reports and investigations can connect product behavior to business impact.

OpsTower connects to Axiom, AWS CloudWatch, Cloudflare Logging, and Google Cloud Logging. Agents can use those sources for systems operations reports, debugging, incident investigation, and ticket context.

Current database integrations include ClickHouse, MongoDB, Cloudflare D1, Supabase, PostgreSQL / MySQL, DynamoDB, and Firestore. Database tools are read-only, so agents can ground investigations in real records without mutating production data.

Yes. OpsTower connects to Linear and Jira Cloud. Agents can search existing issues, view details, inspect teams or boards, and create new issues. Systems Operations reports can also auto-create tickets for discovered issues with severity, classification, source details, and report links.

OpsTower can create tickets with the investigation summary, relevant source details, likely cause, and recommended next action. If your team uses coding agents, those tickets can carry the fix context they need to start from the investigation instead of from a blank issue.

Yes. OpsTower connects to GitHub, Bitbucket Cloud, and GitLab for source code context. Agents can browse repositories, read files, search code, inspect commits and diffs, and review pull or merge requests. Bitbucket and GitLab also include pipeline monitoring.

Yes. OpsTower connects to social and advertising sources including X, LinkedIn, Facebook Pages, Instagram, Meta Ads, and Google Ads. Agents can connect campaign activity, engagement, ad spend, product activation, and revenue to help teams decide what to double down on.

Yes. OpsTower connects to Intercom and Zendesk. Agents can search tickets and conversations, analyze CSAT ratings, review response and resolution metrics, browse help center articles, and connect support patterns with product analytics, errors, and release context.

Yes. OpsTower connects to Apple App Store Connect for iOS and macOS app data. Agents can list apps, query customer reviews by star rating and territory, and analyze review sentiment trends alongside product analytics and support feedback.

Yes. OpsTower's External API connection supports REST APIs, and Custom MCP connections support remote MCP servers. This lets agents use internal services, third-party platforms, partner feeds, or custom tools without waiting for a dedicated first-party integration.

Use External API or Custom MCP if the tool exposes a compatible interface. For tools that need deeper product-specific handling, tell us what you need. The roadmap is prioritized from real operating loops teams are trying to close.

Yes. Agents can use custom knowledge, uploaded files, attached reports, and conversation history. That is useful for company-specific context like launch plans, operating rules, product terminology, customer segments, or internal runbooks.

OpsTower only queries the data sources you explicitly connect and grant access to. Each agent only has visibility into the integrations you assign it. Nothing is accessed without your configuration.

OpsTower stores agent outputs — reports and investigation summaries — so you can revisit findings. Raw source data from your integrations is queried at run time and not permanently stored. Credentials and access tokens are encrypted at rest and never exposed in logs or outputs.

OpsTower runs on Cloudflare's global infrastructure, which provides edge-native security, DDoS protection, and encryption in transit by default. All stored credentials use industry-standard encryption. The architecture is designed to minimize the surface area of what is held versus what is queried transiently.

Yes. Each agent has its own assigned integrations and knowledge. A product agent, debugger agent, and growth agent can each have different scopes. Scoping access is a first-class part of how OpsTower keeps agents focused.

OpsTower has a free Explore plan, an Operate plan for growing teams, and a Scale plan for larger teams that need higher limits and priority support. The pricing page shows current monthly and annual pricing.

Yes. Explore is free for getting started. Operate includes a 14-day trial so a team can connect real sources, run reports, and try chat investigations before committing.

No. OpsTower is designed for the pace of startup teams. You can start free, upgrade when the operating loops are valuable, and choose monthly or annual billing.