Adapt's answer

Adapt publicly lists or features the following customers and customer examples:

• Wander
• RevSend
• Stamped
• DoNotPay
• Landingsite.ai
• QC Growth

Adapt's answer

Adapt is different because it is built as a shared AI agent for company work, not a private chatbot or single-purpose automation bot.

Teams can ask natural-language questions across connected business systems, get cited answers grounded in live company data, and then take action from the same workflow. Adapt works in Slack and the web app, can automate recurring workflows and scheduled tasks, and can build internal apps and dashboards from live company data.

The strongest difference is the shared-work model: a Slack thread can become an investigation, a report, a workflow, or an internal tool that the team can see, refine, and keep using together.

PhantomStat's answer:

PhantomStat covers five sports in one platform — football, MMA, MLB, NBA and tennis — with dedicated pages per player, team, fighter and matchup. Instead of just headline numbers, each page surfaces the underlying breakdown: xG and PSxGA for football, per-round fatigue curves for MMA, a Prop Line Explorer with histograms for MLB, form and opponent-defense splits for NBA, and serve/return breakdowns for tennis. A free account unlocks a quota of pages across every sport; a paid Pro tier ($29.99 / €29.99 / £24.99 per month) unlocks advanced filtering and the full historical archive.

Adapt's answer

Choose Adapt when the work you want AI to handle crosses multiple tools, teams, and data sources.

Many AI assistants are either personal chatbots, search tools, or single-app automations. Adapt is designed for shared business workflows: it can gather context from connected systems, reason over the information, provide evidence-backed answers, and take action such as posting to Slack, creating reports, updating records, or triggering workflows.

Adapt is especially useful for teams that already work in Slack and need AI to operate with company context. It also includes business-grade controls such as organization-level access controls, audit logging, encryption in transit and at rest, and SOC 2 Type I certification.

PhantomStat's answer:

Most single-sport score sites stop at the headline number, and most deep-analytics tools paywall everything before you can see anything. PhantomStat lets you browse every player, team, fighter and matchup page, and a free account covers five sports in one place (football, MMA, MLB, NBA, tennis) instead of forcing you to juggle a separate tool per sport. Pages are built for search too — SEO-friendly URLs mean a specific player or matchup is usually one search away.

Adapt's answer

Adapt is built for business teams at startups and scaling companies whose work spans multiple systems: data warehouses, CRMs, support tools, billing platforms, project management systems, Slack, and internal docs.

The primary audience includes leadership, operations, sales, marketing, product, engineering, customer support, and data teams. It is a strong fit for teams that need fast answers from company data, recurring reports, cross-system workflows, and internal tools without waiting on data, engineering, or operations teams for every request.

Adapt is especially useful for teams that already collaborate in Slack and want AI to work where decisions and follow-up already happen.

PhantomStat's answer:

Sports fans who want more than a final score, and fantasy/simulation players who need the underlying splits rather than a season average. That covers casual fans checking a player's recent form, fantasy managers comparing matchup histograms before setting a lineup, and anyone who follows football, MMA, MLB, NBA or tennis closely enough to want per-round, per-game or per-matchup detail instead of a single headline stat.

Adapt's answer

Adapt was built around a simple belief: the most valuable work in a company is shared, but most AI tools are still personal and disconnected from the systems where work actually happens.

The product grew from the need for one AI agent that can understand company context, investigate across business tools, and help teams act together. Adapt's public product framework is Ask, Understand, Act: ask in natural language, let Adapt gather context from connected tools, then use the answer to create reports, update systems, automate workflows, or build internal apps.

Adapt also uses its own product internally. In its blog post "How Adapt uses Adapt," the team describes using Adapt across engineering, marketing, sales, leadership, and product workflows, from debugging production issues to competitive intelligence, daily company briefings, and CRM updates.

PhantomStat's answer:

PhantomStat started from a simple gap: casual sports sites stop at the final score and a season average, while the analytics that go deeper are built for professionals and locked behind expensive tools. The goal was to put real per-entity detail — xG and PSxGA for soccer, round-by-round fatigue curves for MMA, matchup splits for MLB, opponent-defense splits for NBA, serve/return breakdowns for tennis — in front of any fan for free, with a paid Pro tier reserved for advanced filtering rather than for basic access to the numbers.

Adapt's answer

Adapt's public documentation focuses on product architecture and capabilities rather than publishing a full internal engineering stack.

The core technologies and product components described publicly include:

• An AI agent system built around the Ask, Understand, Act framework
• Model routing to choose the best model for a task
• Sub-agents for complex work that can run in parallel
• Integrations that read from and write to business systems such as Slack, HubSpot, Linear, Snowflake, Stripe, Zendesk, Intercom, GitHub, and Google Workspace
• Knowledge base, conversations, threads, scheduled tasks, and sandbox execution
• Role-based access controls, audit logs, encryption in transit and at rest, and organization-level data isolation

In practical terms, Adapt is built to connect large language models with live company systems, permissions, workflow automation, and collaborative surfaces like Slack.