Ask-AI

What Ask-AI does

Ask-AI provides an AI-native platform for B2B Support, Success, and Sales teams. It reshapes company data to deliver measurable ROI through AI agents, assistants, and intelligence. The platform unifies knowledge silos and provides real-time answers, automations, and insights to reps, leading to faster and more accurate customer support. It connects to over 100 systems to turn disconnected data into actionable insights, improving customer outcomes and team performance. Ask-AI offers solutions for improving resolution rates, proactively spotting risks, automating escalations and outreach, and driving deal preparation and execution with real-time account snapshots. The platform is designed for enterprise deployment and compliance, offering SOC 2 Type II, ISO 27001 certifications, and GDPR compliance, with a strict policy against third-party training of LLM models using customer data. Mosaic AI, a core component, powers enterprise technical support by bringing together customer, product, and support context from existing systems to investigate, act, and learn from every case. It cleans and connects data before AI processing, structures it for AI, and powers every AI action. Mosaic AI also features signal intelligence, learning loops, and adaptive AI to grow with businesses, offering solutions for faster case resolution, proactive issue resolution, identifying churn risk, and automating repetitive tasks.

Products

• Ask-AI AssistantA browser-based assistant that brings AI into reps’ workflow, helping resolve technical cases with confidence by reading logs, traces, and diagnostics grounded in product and case history. It reduces SME reliance and delivers consistent, high-quality support.
• Ask-AI AgentsNo-code agents built on company data to automate hours of busy work. They can be configured to identify at-risk cases and customers, enabling timely intervention.
• Mosaic AI AssistAn AI Assistant for support teams built on enterprise context, helping B2B support teams find information faster, reduce SME reliance, and deliver consistent, high-quality support within their workflow. It analyzes attachments, searches past cases, checks customer setup and history, and automates resolutions or escalates with full history.
• Mosaic AI Self-ServiceAI-powered customer self-service that troubleshoots technical issues using customer's product, configuration, and case history. It resolves more issues at first touch, deflects tickets, and carries full investigation into support when human intervention is needed.
• Mosaic AI Agent BuilderA no-code AI agent builder for support teams to automate repetitive work, reduce escalations, and scale team impact. It allows users to define jobs, connect data, configure workflows, and deploy/refine agents without coding.
• Mosaic AI IntelligenceA component of the Mosaic AI platform that surfaces sentiment shifts, churn risk, and product trends from every case, helping to catch problems before they spread.
• Mosaic AI KnowledgeA component of the Mosaic AI platform that turns resolved cases into fresh articles, closing documentation gaps and preventing the same questions from being asked repeatedly.
• Mosaic AI WorkflowsNo-code agents that run autonomously or on triggers to spot risks and trigger the right actions, automating tasks like ticketing and CRM updates.
• Customer Context ModelA proprietary model that connects customer, product, and support data from across existing systems, cleaning, enriching, and organizing information to provide reliable context for AI actions across all Mosaic AI products.

Key capabilities

• AI-native platform
• Browser-based assistant
• No-code AI agents
• 100+ system integrations
• Real-time answers, automations, and insights
• Enterprise deployment and compliance
• SOC 2 Type II certified
• ISO 27001 certified
• GDPR compliant
• No third-party training of LLM models with customer data
• Customer Context Model for unified data
• Signal intelligence
• Learning loops
• Adaptive AI
• Grounded, cited answers
• Retrieval-augmented generation (RAG)
• Advanced workflow automation
• Bi-directional data syncs
• Permission-aware access control

Use cases

• Improve resolution rates in support
• Proactively spot risks in complex cases
• Automate escalations and outreach in customer success
• Drive deal prep and execution in sales
• Reduce cost-to-serve
• Boost rep productivity
• Automate repetitive tasks
• Reduce ticket volume
• Streamline internal questions
• Resolve technical cases with confidence
• Reduce SME reliance
• Deliver consistent, high-quality support
• Troubleshoot technical issues via self-service
• Deflect tickets
• Identify patterns for churn and growth
• Close documentation gaps
• Automate ticketing and CRM updates

AI approach

Ask-AI provides an AI-native platform for B2B Support, Success, and Sales teams. It uses AI Assistants and Agents built on proprietary data models (Customer Context Model) to unify knowledge silos, automate tasks, and provide insights. The platform processes customer, product, and support context from existing systems, cleans and structures data for AI, and uses Retrieval-Augmented Generation (RAG) to ensure grounded and accurate responses. It emphasizes that no customer data is used to train LLM models or shared with third parties.

Tech named: Customer Context Model, Retrieval-Augmented Generation (RAG), Agentic AI, LLM models

Industries served

• B2B SaaS

What it says sets it apart

• AI-native platform built from the ground up for B2B support teams
• Proprietary Customer Context Model for cleaning, connecting, and structuring data for AI
• Enterprise-grade certifications and compliance (SOC 2 Type II, ISO 27001, GDPR)
• Strict policy against using customer data for third-party LLM training
• No-code agent builder for rapid deployment without engineering lift
• One unified platform for Assist, Self-Service, Knowledge, and Intelligence, all fed by the same Customer Context Model
• Focus on end-to-end case resolution and learning from every outcome
• Ability to operate on 100+ connected systems without data migration or engineering dependency
• Grounded and cited answers ensuring accuracy and trust

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.