50+ Agentic AI apps, ready to demo today.

A polished front end for an AI analytics platform — chat queries, exportable data tables, and a drag-and-drop persona builder.

Automates repetitive desktop and browser data-entry work at 80–90% lower cost than traditional RPA, using a two-tier deterministic + AI architecture.

Turns sales conversations into working interactive prototypes in hours, not weeks — so prospects experience the solution before scoping is finalized.

An AI-first CRM where natural language drives the workflow — describe what you need in plain English and an autonomous agent updates records, runs reports, and surfaces deals.

A conversational interface for Salesforce admin work — create fields, deploy metadata, run queries, manage permissions, all via natural language.

Ask Google Analytics questions in plain English and get clear, actionable answers backed by live GA data — no dashboards or report-building required.

Connects to any database, extracts schemas and relationships, and generates documentation, ER diagrams, and a chat interface for exploring the data.

Analyzes labour-code obligations, interprets new regulations for HR teams, and auto-generates compliant policies and checklists.

An end-to-end automated pipeline that extracts data from PDF and image invoices, validates against POs, and pushes clean records to accounting systems.

A Kanban board for tasks and projects, with real-time updates, priority flags, and team collaboration built in.

A unified gateway fronting multiple LLM providers with built-in observability, request logging, and cost tracking via LangFuse.

A modern performance-management platform: continuous feedback, goal tracking, review cycles, and AI-assisted summarization.

Runs AI models entirely on internal servers — keeps prompts and data air-gapped from external providers while delivering full LLM functionality.

Automates schema and data-level QA checks across production and development environments, flagging discrepancies and regressions before deployment.

Centralizes every sales and pre-sales tool into a single structured workspace, organized by deal stage so reps spend less time switching contexts.

Enforces SQL coding standards across teams — formats queries to a chosen style guide, flags optimization opportunities, and reduces PR-review overhead.

Reviews pull requests for bugs, style issues, and missing tests — leaves inline comments and gives developers a starting point before human review.

Profiles new datasets and surfaces patterns, suggested hypotheses, and visualization approaches — gives analysts a running start on every new project.

Extracts structured data from contracts, invoices, forms, and other documents — handles multiple layouts and pushes clean records downstream.

Centralizes Salesforce / Marketing Cloud implementation work — auto-generates discovery workbooks, project plans, change orders, and meeting minutes from uploaded SOWs.

AI personas simulate high-stakes conversations (interviews, sales pitches, client presentations) with adaptive dialogue and real-time coaching on tone and delivery.

Tracks contracts, asset warranties, and milestones across fragmented sources and proactively alerts stakeholders well before deadlines.

Generates newsletter drafts from sources you specify (RSS, internal docs, recent campaigns), with section structure and CTA recommendations built in.

Turns a one-paragraph brief into a structured project plan complete with objectives, scope, deliverables, risks, and timeline — in seconds.

Monitors release notes and API changelogs across ad and data platforms, flagging breaking changes before they reach production.

Generates standard operating procedure documents from a description of the process — sequencing steps, listing tools, and producing role assignments.

Low-code dashboards where users describe what they want to see in natural language and the platform builds visualizations and semantic models.

A lightweight, AI-first alternative to heavyweight PM tools — Kanban board, real-time updates, and an AI assistant that turns conversations into structured tasks.

Generates polished decks from uploaded Word, PDF, or Excel content — applying templates, structure, and brand styles automatically.

Matches prospects to your ideal customer profile from natural-language descriptions, scores leads by conversion likelihood, and delivers them to CRM.

Upload a CSV, Excel, or database export and ask questions in plain English — get distributions, correlations, and quality scores without writing Python.

Processes thousands of reviews, survey responses, and social mentions across platforms and languages — scoring sentiment and tagging root causes.

Generates SVG icons and dashboard background imagery from a description — fast asset production for KPI cards and analytics interfaces.

Continuously monitors data pipelines for anomalies, schema drift, and freshness issues — at a fraction of the cost of commercial observability tools.

An AI assistant for building, monitoring, and troubleshooting data pipelines — generates extraction logic, validates schemas, and explains failed runs.

Lightweight project-time tracking that bills by the hour — built for agencies, dev teams, and HR groups that want a simple alternative to Jira or Timely.

Translates a stated business intent into a complete analytics workflow — queries, visualizations, and narrative — without needing an analyst in the loop.

An end-to-end invoice automation pipeline built on n8n that handles intake, data extraction, validation, and downstream system updates.

Recommends relevant KPIs for new engagements from industry best practices and historical patterns — collapses kickoff-to-measurement from weeks to minutes.

Generates LinkedIn posts, carousels, and engagement strategies from a brief description of the topic, audience, and goal — with built-in brand-voice control.

Shifts BI report production to local environments and publishes static outputs — eliminating expensive BI server costs for tight-infrastructure organizations.

Quantifies each marketing channel's incremental contribution to revenue and simulates budget reallocations using advanced MMM techniques.

Transcribes meetings in real time and extracts decisions, action items, risks, and stakeholder concerns into a searchable, routable feed.

Unifies fragmented operational data across regions and locations into a single dashboard — proactive alerts, simulations, and revenue-opportunity flags.

Parses inconsistent campaign names from ad platforms into clean, structured, dashboard-ready data — hours of manual cleanup become seconds.

Extracts data from invoices and other documents using a local LLM (no cloud) — PII never leaves the machine, giving compliance-sensitive teams a private OCR pipeline.

Automates Power BI pipeline operations — deployments, dataset refreshes, workspace promotion — replacing repetitive manual configuration with one workflow.

An AI assistant for procurement teams — vendor analysis, contract review, spend optimization, and risk monitoring across the supplier network.

Reconciles quality-control reports across data sources, flagging discrepancies and producing a unified summary for audit and review.

Automates candidate screening — evaluates resumes against role criteria, conducts initial assessments, and surfaces top applicants to hiring managers.

An internally-built alternative to enterprise PM tools — single source of truth across teams, with an AI agent for status updates and task triage.

Indexes Slack, Teams, and Jira and surfaces relevant historical context whenever a question is asked — finds previous solutions and the people who solved them.

Auto-generates assumptions, risks, and counterarguments for every major decision — captures structured decision records the organization can learn from.

Replaces paper-based reception logbooks with a digital portal — timestamped records, photo capture, instant recipient notifications, and audit trail.

One place for awards, events, peer recognition, and idea submissions — replaces the fragmented mix of email, Slack, and spreadsheets engagement programs rely on.

A guided onboarding experience for new hires — handles paperwork, IT provisioning, training assignments, and first-week scheduling end-to-end.

Analyzes fleet telemetry, delivery schedules, and traffic patterns to recommend route optimizations that cut fuel cost and carbon emissions.

Unifies insertion-order planning data with live ad-delivery metrics across Google Ads, DV360, and Meta — pacing alerts and reconciliation in one view.

A browser extension that masks personally identifiable information before it reaches an AI tool — prevents accidental data exposure to third-party LLMs.