# BonData

> BonData is Next-Gen Master Data Management. It autonomously maps, bonds, and contextualizes a company's systems and databases into one trusted Golden Record in 24 hours, so teams and AI agents can rely on one trusted source of truth. Zero-copy: data stays in its source systems.

BonData (bondata.ai) is a Next-Gen Master Data Management platform. Category: MDM. Tagline: “Data is its truth. Until It's Bonded.” Contact: connect@bondata.ai (general), security@bondata.ai (SOC 2 / ISO 27001 / DPA under NDA).

## Pages
- [BonData: Turn ERP, PLM, and MES into one Golden Record](https://bondata.ai): Homepage: manufacturer-led Next-Gen MDM, the Chaos→Clarity story, how it works, and a live chat you can ask anything.
- [Platform](https://bondata.ai/product): The BonData platform: Integrations, Data Quality, Chat, and Workflows over one governed Golden Record.
- [Industries](https://bondata.ai/industries): How BonData applies to operations-driven enterprises.
- [Manufacturing](https://bondata.ai/industries/manufacturing): Bond ERP, MES & PLM into one Golden Record; fix BOM gaps and production truth.
- [CPG & Retail](https://bondata.ai/industries/cpg-retail): Unify product, supplier & store data; bridge sell-in vs sell-out for trade-promo ROI.
- [Technology](https://bondata.ai/industries/technology): Unify product, billing & customer data across the SaaS stack.
- [Customers](https://bondata.ai/customers): Real teams, real outcomes with one Golden Record.
- [Resources](https://bondata.ai/resources): The BonData resource hub: the free Next-Gen MDM report, solution-brief one-pagers, case studies, docs, the ROI calculator, and FAQ.
- [One-Pagers](https://bondata.ai/one-pagers): Two-minute solution briefs on Next-Gen MDM: foundations (Golden Record, Context Layer) and industry versions for manufacturing, CPG & retail, and logistics.
- [Next-Gen MDM Report](https://bondata.ai/mdm-report): Free report: why legacy Master Data Management (MDM) is failing and what Next-Gen MDM looks like for manufacturing. Download after a short form.
- [MDM Buyer's Guide for Manufacturing](https://bondata.ai/mdm-buyers-guide): How to choose a Master Data Management (MDM) platform for manufacturing: the criteria that separate Next-Gen MDM from legacy, and a legacy-vs-next-gen comparison.
- [FAQ](https://bondata.ai/faq): Straight answers on the product, security, deployment, and go-live.
- [About](https://bondata.ai/about): Mission, team, and story.
- [Blog](https://bondata.ai/blog): Field notes on Master Data Management and the Context Layer.
- [Careers](https://bondata.ai/careers): Open roles: help build the category.
- [Book a Demo](https://bondata.ai/book-a-demo): Book a live demo: see your ERP, PLM, and MES bond into one trusted Golden Record.
- [Contact](https://bondata.ai/contact): Get in touch with the BonData team.

## Case studies
- [Tipalti: The power of proactive data](https://bondata.ai/case-studies/tipalti): Static dashboards slowed the business, leaving signals unseen, adoption low and revenue opportunities missed. BonData replaced pull-based reporting with proactive delivery that reaches teams inside the tools they already use.
- [Centrical: A dependable RevOps foundation with real-time accuracy](https://bondata.ai/case-studies/centrical): Conflicting forecasts, broken sales-to-CS handoffs and risks that only surfaced after they escalated. BonData replaced patchwork processes with a unified, zero-copy data layer across revenue operations.
- [D-ID: Enterprise upsell opportunities, surfaced automatically](https://bondata.ai/case-studies/d-id): Revenue teams wasted time chasing incomplete data while enterprise opportunities stayed buried in silos. BonData unified D-ID's systems without pipelines or duplication, and pushed the signals to the people who could act.
- [EV Company: Proactive support and a 10%+ efficiency gain](https://bondata.ai/case-studies/ev-company): A Dutch leader in electromobility whose support agents jumped between Salesforce and external partner portals to answer a single question. BonData connected those systems into one 360° customer view.
- [Global Industrial Manufacturer: Unified partner data across a global supply chain](https://bondata.ai/case-studies/global-industrial-manufacturer): A leading manufacturer of high-precision industrial components ran its supplier and distributor network on siloed spreadsheets. BonData replaced the black box with one real-time source of truth every partner could trust.
- [European CPG Leader: Mastered trade-promotion optimization](https://bondata.ai/case-studies/european-cpg-leader): A leading European CPG company couldn't reconcile internal shipments (Sell-In) with retailer point-of-sale data (Sell-Out). BonData closed the gap and made true consumer demand visible.
- [North American Infrastructure Group: Synchronized multi-partner data across the supply chain](https://bondata.ai/case-studies/infrastructure-group): A leading infrastructure and construction firm faced operational friction from a lack of trust in data shared across an expansive partner network. BonData built one real-time, verified data ecosystem.

## Blog posts
- [The MDM Hub Is Dead. Long Live the Bond.](https://bondata.ai/blog/the-mdm-hub-is-dead-long-live-the-bond): Traditional MDM builds one hub, matches and merges everything into it, then watches the golden record decay. Next-gen MDM inverts the model: bond data where it lives, virtual, confidence-scored, continuous.
- [The Context Layer Every AI Agent Is Missing](https://bondata.ai/blog/the-enterprise-brain-context-layer-for-ai): AI agents don't hallucinate because the model is weak. They hallucinate because nothing tells them user_id and customer_email are the same person. The missing piece is a shared context layer.
- [Match-Merge Was Built for Spreadsheets, Not AI](https://bondata.ai/blog/match-merge-was-built-for-spreadsheets-not-ai): Deterministic match-and-merge fails on an abbreviation, a trailing space, a missing field, and one entity fractures into many. That model can't carry AI. Probabilistic, confirmable matching can.
- [Master Data Without the Migration](https://bondata.ai/blog/master-data-without-the-migration): Every legacy MDM project opens with “first, we migrate all your data into our hub.” That migration is the hidden cost: months of work and a fresh copy of your most sensitive data to guard. Zero-copy skips it entirely.
- [Why Legacy MDM Stalls in the AI Era](https://bondata.ai/blog/why-legacy-mdm-stalls-in-the-ai-era): Legacy MDM was built to ship a clean snapshot in months. AI needs current, connected data right now. That mismatch is why the golden record keeps stalling your models.
- [4 Systems, 4 Ship Dates, 1 Problem](https://bondata.ai/blog/4-systems-4-ship-dates-1-problem): ERP, Excel, email, and portals all hold a different truth. Here's why static systems of record keep failing, and how to connect data by field, not by system.
- [Your Golden Record Isn't Wrong. It's Just Sitting Still.](https://bondata.ai/blog/your-golden-record-isnt-wrong-its-just-sitting-still): When your golden record goes stale, supplier duplicates and mismatched IDs quietly slow operations. Here's why static MDM fails, and what automation should do instead.
- [Liberating the Data Engineer](https://bondata.ai/blog/liberating-the-data-engineer): Data experts are not human middleware. Free your data team from firefighting and maintenance so they can build intelligence, not babysit integrations.
- [Your Data Needs a Brain](https://bondata.ai/blog/your-data-needs-a-brain): Pipelines move information but can't remember what it means. Without contextual memory, AI is just an expensive guessing machine. Here's the fix.
- [Why Best-of-Breed Is Killing Your Data Stack](https://bondata.ai/blog/why-best-of-breed-is-killing-your-data-stack): High data bills, engineering drain, and slow decisions? It's the Integration Tax: the compounding cost of holding a fragmented, best-of-breed architecture together.
- [The Rise of the Go To Data Platform](https://bondata.ai/blog/the-rise-of-the-go-to-data-platform): Stop managing fragmented infrastructure. An autonomous platform that automates ETL, warehousing, and intelligent operations, acting as your data engineering team.
- [Breaking Free from the Human API](https://bondata.ai/blog/breaking-free-from-the-human-api): Ops leaders can break free from data silos and manual stitching to become strategic drivers. The shift from operator to orchestrator, and what it takes.
- [Liberating Tech Teams from Data Pipelines](https://bondata.ai/blog/liberating-tech-teams-from-data-pipelines): Real-time data orchestration without the pipeline sprawl. Meet the Actionable Virtual Data Layer: see, understand, and act across systems without moving your data.
- [Why Data Architecture Is Blocking AI](https://bondata.ai/blog/why-data-architecture-is-blocking-ai): The models are ready. The budgets are approved. The bottleneck is the data foundation. Why traditional pipelines stall AI, and where the industry is heading.
- [Can Yesterday's Data Strategy Win Tomorrow's AI Race?](https://bondata.ai/blog/can-yesterdays-data-strategy-win-tomorrows-ai-race): AI needs live, trusted data, not static snapshots. How a dynamic MetaFabric turns rigid warehouses into information in motion, ready for agents.
- [Use Case: Orchestrating Upsell Opportunity Detection](https://bondata.ai/blog/use-case-orchestrating-upsell-opportunity-detection): The signals are already in your systems: they're just owned by different teams. How orchestration turns scattered intent into predictable upsell.
- [Use Case: Orchestrating Lead Scoring](https://bondata.ai/blog/use-case-orchestrating-lead-scoring): When product usage, CRM, and intent data live in separate tools, your lead score is always missing context. How orchestration turns data into decision logic.
- [Use Case: Orchestrating Workflow Automation (Handoffs)](https://bondata.ai/blog/use-case-orchestrating-workflow-automation-handoffs): Every manual handoff is another delay and another chance to drop the ball. How orchestration makes information flow the moment a deal closes.
- [Use Case: Orchestrating Deal-at-Risk Alerts](https://bondata.ai/blog/use-case-orchestrating-deal-at-risk-alerts): One dip in usage is noise. A dip plus a delayed payment plus poor sentiment is a warning. How orchestration catches churn before it's inevitable.

## Open roles
- [Senior Full Stack Engineer (Tel Aviv, Israel)](https://bondata.ai/careers/senior-full-stack-engineer): Design and build the infrastructure and interfaces that power BonData's context-AI platform, owning features end to end, from technical design through production.
- [Technical Customer Success Manager (Tel Aviv, Israel)](https://bondata.ai/careers/technical-customer-success-manager): Own the post-sale relationship: get customers live on BonData fast and make sure their teams get lasting value from one trusted Golden Record.
- [Junior Sales Development Representative (SDR) (Tel Aviv, Israel)](https://bondata.ai/careers/junior-sales-development-representative-sdr): Be the first line of engagement with potential customers: researching, connecting with, and qualifying leads for our data platform.

## Optional
- [Documentation](https://docs.bondata.ai): Technical reference & integration guides.
- [Trust & security](https://docs.bondata.ai/platform/trust): Certifications, sub-processors, deployment models.
- [Status](https://status.bondata.ai): Live service status.
- [ROI calculator](https://roi.bondata.ai): Estimate the annual cost of bad data.