Ada
Active
AI customer service agent and ACX platform for automating omnichannel customer support.
Ada provides an AI customer service agent and ACX platform for resolving support issues, optimizing agent performance, delivering omnichannel customer experiences, and extending support automation into enterprise workflows.
Positioning
Automate customer service with AI
Key facts
- HQ location
- Toronto, Canada
- Founded
- 2016
- Employee range
- 201-500 (485-705)
- Funding stage
- Series C Plus
- Company type
- Private (Private)
- Pricing model
- Subscription (SaaS subscription)
- Last updated
- Jun 21, 2026
Revenue estimate
Unknown
Valuation estimate
$1.2B
Investments
$200M total (Series A–C; Series C $130M)
Target customers
Customer support teams, enterprises
Key competitors
Forethought, Decagon, Intercom
Known customers
Unknown
Classification (raw research text)
- Core focus
- Customer support automation
- Core industry
- Customer Support
- Core category
- AI customer service platform
Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- Agent Builder / Agent Configuration Primary focus
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Secondary feature
- Retrieval-Augmented Generation Secondary feature
- Enterprise Search / Knowledge Management Secondary feature
- AI Quality Assurance / LLM Evaluation Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Risk / Compliance Secondary feature
- Human-in-the-Loop Review / Feedback Secondary feature
- Conversation Intelligence / Speech Analytics Secondary feature
- Text Chatbots / Conversational Assistants Primary focus
- Voice AI Agents Secondary feature
- AI for Customer Experience / Support Automation Primary focus
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- AI Fine-tuning / Custom Model Training Not emphasized
- Agent Builder / Agent Configuration Primary focus
- Multi-agent Orchestration / Runtime Not emphasized
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Secondary feature
- Retrieval-Augmented Generation Secondary feature
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Secondary feature
- AI / LLM Data Pipeline Not emphasized
- Document AI / Document Processing Not emphasized
- Model Deployment / Inference Infrastructure Not emphasized
- Traditional Machine Learning Not emphasized
- AI Quality Assurance / LLM Evaluation Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Not emphasized
- Data Privacy / PII / Confidential AI Not emphasized
- AI Governance / Policy Management Not emphasized
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Not emphasized
- Human-in-the-Loop Review / Feedback Secondary feature
- Call Transcription / Speech-to-Text Data Capture Not emphasized
- Conversation Intelligence / Speech Analytics Secondary feature
- Text Chatbots / Conversational Assistants Primary focus
- Voice AI Agents Secondary feature
- Voice Infrastructure / STT / TTS Not emphasized
- AI for Customer Experience / Support Automation Primary focus
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Not emphasized
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Not emphasized