Rivac LabsEntity Resolution & Data Deduplication Pipelines
Every organization that's grown through multiple systems, acquisitions, or years of manual data entry ends up with the same problem: the same customer, vendor, or product exists as five slightly different records across different databases, and nobody can get a clean count of anything. This service builds a multi-stage entity resolution pipeline — starting with fast deterministic matching, escalating to fuzzy matching for near-misses, then to LLM-adjudicated matching for ambiguous cases, with a human review step for the ones nothing can resolve confidently — that cleans up messy real-world records without a purely automated process making silent, unreviewed merge mistakes. We tune each stage to your specific data and error tolerance, since a wrongly-merged customer record is a different kind of mistake than a missed duplicate. It solves the quiet but expensive problem of decisions, reporting, and outreach all being built on a record count nobody actually trusts.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Audit your current record sets and interview the team that deals with duplicates today to learn where matching breaks down and what a wrong merge costs
- 2
Pilot the multi-stage matching pipeline — deterministic, fuzzy, then LLM-adjudicated — against a representative sample, with a human review step for the low-confidence cases
- 3
Review match and non-match decisions with your team to tune thresholds and catch any risky auto-merges before scaling
- 4
Run the pipeline across your full dataset with an audit trail of every merge decision and a human queue for cases the pipeline can't resolve confidently
What You Get
Deliverables from this engagement
- Cleaned, deduplicated dataset with a documented match confidence per record
- Multi-stage matching pipeline (deterministic, fuzzy, LLM-adjudicated, human review)
- Audit trail of every merge decision for compliance and rollback
- Ongoing deduplication process for new records as they enter your systems
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Entity Resolution & Data Deduplication Pipelines