Financial Services
Make transaction, client and market data easier to search, monitor and reconcile across systems that were never built to talk to each other.
Build the pipelines, controls and review workflows that surface risk early, cut the time spent on manual checks and give teams one reliable view of what changed.
Search & Discovery
Making it easy to find the right thing, fast.
“wire threshold” returns last year’s policy, not the one in effect on the date of the transaction
Search That Understands Intent
Hybrid Semantic + Keyword Search
A search for “wire threshold” finds the current policy even when the document calls it “transfer limit.”
Fit-Guaranteed Results
Compatibility & Attribute-Aware Retrieval
Filters results to the policy version in effect on the date of the transaction, not whichever version ranks highest.
Data Engineering
Turn fragmented data into dependable infrastructure.
A compliance analyst checks three separate systems before confirming one client’s KYC status
Clean, Trustworthy Data
Data Normalization & Extraction
Reconciles transaction records, KYC documents and communication logs from systems that were never built to talk to each other.
Knowledge That Stays Current
Knowledge Base Sync Pipelines
When a compliance policy changes, the index updates in real time, closing the gap between the rule and the record.
One Search, Every System
Unified Search Across Systems
One search across the core banking system, the KYC repository and the case management tool.
Applied AI Automation
Use AI where it creates measurable value.
An investigator spends 20 minutes across four systems just to confirm one transaction’s history before writing it up
Trustworthy AI Answers
Citation-Grounded RAG
Every generated answer is traceable to a verified transaction or filing, so nothing an investigator can’t defend in an audit.
Instant Answers for Your Team
Internal Search & Copilot Tools
An investigator confirms a client’s transaction history in one search instead of four.
Data Analytics
Good decisions depend on good information. Make your data easier to understand and act on.
A risk spike shows up in Friday’s report, four days after it would have mattered
See Demand the Day It Happens
Real-Time Analytics Pipelines (Kafka, OLAP)
A risk spike shows up the day it happens, not in Friday’s report.
One Version of the Numbers
Metrics Layer & Reporting Models
Exposure, volume and flagged-transaction counts mean the same thing to risk, compliance and the board.
Dashboards people want to use
Self-Serve BI & Visualization
Views built around what a risk analyst checks first thing, not a report library nobody opens.
Monitoring & Risk
Be assured that your AI and tech systems are running smoothly while you focus on your business.
A pattern that looks like structuring sits in the transaction log for a week before a human reviews that account
Automatic Red-Flagging
Pattern & Anomaly Detection
Surfaces the transaction patterns worth a human look inside a day’s volume of routine activity.
Know When Something Breaks
Data Quality & Pipeline Monitoring
A stalled feed from a correlated system gets caught before it becomes a blind spot in surveillance.
Fewer False Positives
Alert Tuning & Triage Workflows
Alert scoring tuned so an investigator’s queue is the accounts that matter, not every threshold trip.