Company profile
Delpha
AI-driven data quality solution for accurate, reliable customer data.
- Category
- Data platforms
- Headquarters
- Paris
- Sells to
- Enterprise
- Business model
- SaaS subscription
- Deployment
- Cloud / SaaS, API
- Pricing
- Tiered · from $29/mo
- Builds own models
- Yes
- Modalities
- Tabular
What Delpha does
Delpha is an AI-driven data quality solution that uses intelligent AI Agents to ensure accurate, reliable customer data, helping businesses improve operational efficiency and boost revenue performance. It resolves who a company actually is and who its commercial parent is, with evidence, over Model Context Protocol (MCP), to any agent stack. Delpha's AI Agents analyze and score data across six critical dimensions, delivering actionable recommendations with confidence. The AI Agents offer both automatic and co-pilot manual corrections under the data steward or user’s supervision. Delpha connects directly to your data ecosystem to evaluate records, automate deduplication, and deliver intelligent, contextual enrichments right where your team works.
Products
- Delpha Quality ScoreStreamlines business processes, reduces redundancy, and enables teams to operate at peak performance by quickly identifying and correcting data issues. It analyzes and scores data across six critical dimensions.
- Delpha DeduplicationRevolutionizes how organizations handle data quality and deduplication by seamlessly identifying and merging duplicate accounts, contacts, and leads, ensuring clean and reliable data across the organization.
- Delpha Contact Job TrackerUses relational intelligence to increase revenue by knowing when and where existing customers change jobs and implementing real-time contact job tracking inside Salesforce.
- Delpha Ultimate AccountA Salesforce module that ensures accurate account hierarchies for a 360° view of corporate structure, improving territory management, driving strategic sales, and boosting cross-selling opportunities with AI-powered data correction.
- Delpha Opportunity HygieneBoosts revenue with more accurate pipelines, reduces time spent on CRM updates, and improves accuracy and efficiency.
- Delpha LinkedIn Connector for SalesforceStreamlines the sales pipeline by seamlessly adding LinkedIn contacts to Salesforce without manual entry and gaining comprehensive insights into key contacts. It can automatically update existing Salesforce records with new or changed data from LinkedIn.
- Delpha Assistant BotDesigned for professionals in Sales, Marketing, and Customer Success to enhance record accuracy and efficiency by utilizing suggestions based on data generated through token allocation.
Key capabilities
- AI Agents for data analysis and scoring
- Actionable recommendations with confidence scores
- Automatic and co-pilot manual data corrections
- Data Quality Score for identifying and correcting data issues
- AI-driven deduplication for accounts, contacts, and leads
- Real-time contact job tracking
- Accurate account hierarchies for 360° view
- Opportunity pipeline hygiene
- Seamless LinkedIn contact import to Salesforce
- Automated data enrichment from LinkedIn
- Salesforce native app
- Heroku native app
- AI-Agents Platform & MCP Server
- SOC2 compliance
- GDPR compliance
- Data-Processing Agreement (DPA)
- Security-by-design
- API access for custom software integration
- Model Context Protocol (MCP) server for connecting AI agents and LLMs to business data
- Customizable settings for data import and sync frequency
- Token-based system for data evaluation and enhancement
Use cases
- Improving operational efficiency
- Boosting revenue performance
- Ensuring accurate and reliable customer data
- Improving decision making
- Enhancing customer relationships
- Increasing efficiency
- Achieving higher revenue
- Compliance and risk management
- Optimizing AI projects by providing high-quality data
- Informing strategic decisions for AI models
- Optimizing sales strategies and driving better results
- Increasing ROI of marketing efforts
- Accurate financial reporting, budgeting, and forecasting
- Evaluating data assets of potential acquisition targets
- Informing valuation and integration strategies during M&A
- Merging high-quality data and building a comprehensive 360-degree view post-acquisition
- Monitoring data quality dimensions within Salesforce
- Resolving duplicates within Salesforce
- Guiding sales representatives with real-time recommendations
- Optimizing CRM user workflows
- Building custom data pipelines
- Enhancing record accuracy and efficiency for sales, marketing, and customer success professionals
- Setting up and configuring Delpha for administrators and data stewards
- Activating automation and batch processing
- Customizing or creating new bot conversations
- Establishing assessment fields and merge rules
AI approach
Delpha uses AI Agents to analyze and score data across six critical dimensions, deliver actionable recommendations, and offer automatic and co-pilot manual corrections. The platform leverages AI for deduplication, data quality analysis, and enrichment. It also mentions an AI-Agents Platform & MCP Server and the use of LLMs.
Tech named: AI Agents, Machine Learning, Generative AI, AI agent, Claude, LLMs, Model Context Protocol (MCP)
What it says sets it apart
- Deterministic source of commercial truth for AI agents
- Verification call before AI agent action
- Resolves company identity and commercial parent with evidence over MCP
- AI Agents analyze and score data across six critical dimensions
- Offers both automatic and co-pilot manual corrections
- AI-driven system for deduplication
- Real-time contact job tracking inside Salesforce
- AI-powered data correction for accurate account hierarchies
- Seamless integration with Salesforce for LinkedIn data
- Complies with GDPR and other relevant data protection regulations
- Robust customization options for data import and sync
- Model Context Protocol (MCP) server for connecting local AI agents and LLMs directly to business data
This profile was compiled from Delpha's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.