Multiple systems, one truth. Resolved automatically.
Every enterprise runs on fragmented systems: multiple ERPs from acquisitions, regional platforms with inconsistent taxonomies, supplier data that conflicts across every tool. That fragmentation breaks AI, blocks governance, and makes orchestration at scale impossible. Opstream’s Data Synthesizer resolves those conflicts automatically using a defined hierarchy, so your AI agents start with clean, accurate, actionable information.
Data Synthesizer
All five capabilities run simultaneously on every data point that enters Opstream.
AI Semantic Mapping
Recognizes “Company Address” and “HQ Address” are the same field. Maps equivalent attributes across systems automatically.
Intelligence LayerSource of Truth
You define which system is authoritative for each field. Vendor risk? TPRM owns it. HQ address? Your ERP is the authority.
User-Defined RulesRecency Resolution
Equal-weight sources (two ERPs, two contracts) are resolved by the most recently updated value. The latest is the most accurate.
Equal-Weight TiebreakerAggregation
Non-conflicting data is combined, not collapsed. Five contracts with five locations? They all appear as distinct entries alongside the verified HQ.
Complementary DataSignal Extraction
Identifies the most meaningful fields and how they correlate, stripping noise so you get an actionable dataset, not an overwhelming one.
Quality over QuantityOne Unified Data Model
Clean, structured, conflict-free. Ready for AI agents, analytics, and every workflow downstream.
See the resolution in action
Here is how the Data Synthesizer handles real conflicts for a single vendor record pulled from three different systems.
Acme Corp
Pulled from 3 systemsHQ Address
Source of TruthRisk Score
Source of TruthPayment Terms
RecencyLocations
AggregationRenewal Dates
AggregationAI does the heavy lifting
The Data Synthesizer uses AI to recognize semantic equivalence across systems, so “Company Address,” “HQ Address,” and “Primary Location” are automatically mapped to the same Opstream attribute. It prioritizes the most meaningful data points, removes noise, and builds an actionable dataset without requiring manual field mapping for every integration.
Integration, orchestration, and data synthesis are not the same thing
Most platforms stop at connecting systems or routing workflows. Opstream goes further by resolving the data conflicts those connections create.
Integration
Moves data from point A to point B. Connectors, APIs, webhooks. The pipes between your tools.
- Syncs records between systems
- Does not resolve conflicting values
- Does not normalize naming or formats
- Does not define which system is correct
Orchestration
Manages intake, approvals, and triggers actions across connected tools. The workflow layer on top of integrations.
- Routes requests to the right people
- Automates approval workflows
- Passes data through without verifying it
- Garbage in, garbage out
Data Synthesizer
Reconciles conflicting data across every connected system using defined hierarchies, AI mapping, and aggregation rules.
- Resolves conflicting values automatically
- Maps semantically equivalent fields with AI
- Defines source of truth per attribute
- Aggregates non-conflicting data
Common questions about the Data Synthesizer
Why can’t traditional integrations solve this problem?
Traditional integrations move data between systems, but they don’t resolve conflicts. If the same vendor has three different addresses across your ERP, CRM, and CLM, a standard connector will sync all three without deciding which is correct. The result is duplicate, inconsistent records that degrade every downstream process, from reporting to AI-driven workflows.
What makes the Data Synthesizer different from master data management (MDM)?
MDM tools typically require months of implementation, dedicated teams, and manual cleansing projects. The Data Synthesizer is embedded natively in Opstream and works continuously. It resolves conflicts in real time as data flows through the platform, using configurable rules you define once and AI that handles the mapping automatically.
How does the Data Synthesizer handle enterprises with multiple ERPs?
This is exactly the scenario it was designed for. Organizations that have grown through acquisitions often run two or more ERPs with overlapping vendor records, inconsistent taxonomies, and conflicting contract terms. The Data Synthesizer treats each system as a source, applies your hierarchy rules, and produces one unified data model that all downstream workflows consume.
Do I need to manually map fields across systems?
No. The AI Semantic Mapping capability automatically recognizes when fields across systems refer to the same concept, even when they have different names. “Company Address,” “HQ Address,” and “Primary Location” are mapped to the same Opstream attribute without manual configuration.
Why does data quality matter for AI agents?
AI agents are only as good as the data they act on. If an AI agent processes a vendor record with three conflicting risk scores, it cannot make a reliable recommendation. The Data Synthesizer ensures every AI agent in Opstream starts with a clean, conflict-free dataset, which is the foundation for trustworthy automation.
See the Data Synthesizer in Action
Book a personalized walkthrough to see how Opstream resolves your data conflicts automatically.
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