AI-READY
Scattered data?
Let us clean it up.
We make every corner of your company's data ready for AI.
Files scattered everywhere, master data full of inconsistencies, Excel sheets only one person understands. AIready takes on the data cleanup work that never fits alongside day-to-day operations — cleansing, bulk file renaming, master data integration, and quality design — and hands your data back in a form AI can use.
Data first
A team dedicated to data readiness
No rip-and-replace
Your existing systems stay in place
Phased rollout
Step by step, from Phase 0 to 5
Why data
Nothing moves forward until the data is in order.
Process improvement, BI, AI — the outcome always depends on the state of your data. We specialize in the work of getting it in order.
This is what the desk really looks like
Paper
Delivery slip 2024-03
Handwritten, faded stamp
Excel
sales_latest_FINAL_v3.xlsx
Macros only one person understands
Memo
Discount rules memo
Only in someone's head
System
Sales system (on-prem)
Manual CSV exports
attached_customer_list.csv
Nobody knows which is newest
Excel
sales_2023Q4 (copy).xlsx
No clear master copy
System
Inventory (SaaS-A)
Inconsistent customer names
Excel
customers_tanaka.xlsx
Saved in a personal folder
Excel
customers_suzuki.xlsx
Conflicts with Tanaka's version
CSV
legacy_dump_20221130.csv
Legacy character encoding
System
Accounting system
Different customer ID scheme
Memo
Rules passed down verbally
Never written down
Slack screenshot
Numbers trapped in an image
Paper
Fax order forms
No OCR, stored in stacks
Excel
expenses_2024.xlsx
Broken formulas
System
Attendance system
Names don't match other systems
Paper
Approval files (paper)
Buried in a cabinet
CSV
POS_log.csv
Junk rows at the top
Different formats, different places, piled on top of each other. Because nothing is connected, reporting, analysis, and AI all stall before they can start.
How we work
From Phase 0 to 5 — in the order data gets clean.
Rather than fixing everything at once, we start with an inventory and work through in sequence, leaving results your team can use at every phase — and ending with operations that keep data clean for good.
- PHASE0
Data Inventory & Assessment
We map out what data exists where — across teams and systems — and how clean (or messy) it really is. Every engagement starts with this clear-eyed assessment.
- PHASE1
Structuring Forms & Spreadsheets
Paper forms, local Excel files, email attachments. We convert unstructured information into formats a database can work with.
- PHASE2
Deduplication & Entity Resolution
We consolidate master records for customers, products, and people so that "ACME Corp." and "ACME Corporation" are treated as one, eliminating naming inconsistencies.
- PHASE3
Data Quality Rule Design
Required fields, data types, value ranges, imputation of missing values — we design quality rules that fit your operations and turn them into automated checks.
- PHASE4
Data Platform & Pipelines
We design ETL/ELT pipelines and a data warehouse that keep clean data flowing continuously, with reproducible, dependable operations.
- PHASE5
Connecting to Value
We connect your clean data to BI dashboards, automated reports, and business systems — and, where needed, bridge into AI use cases such as predictive models and RAG/LLM applications.
Industries
Whatever the industry, we roll up our sleeves for messy data.
From manufacturing to healthcare, we have worked alongside teams of every kind that need their data in order.
Manufacturing
Inspection records / process data / equipment logs
Typical projects
- Consolidated handwritten inspection sheets — formatted differently at every site — into a unified schema
- Matched equipment logs against defect data so defect rates can be compared across sites
Healthcare & Medical Data
Care records / reports / client data
Typical projects
- Deduplicated and merged client records previously managed in per-facility Excel files
- Structured report data from inconsistent templates and automated monthly summaries
Capabilities
Six specialties for getting data in order.
From inventory and form structuring to entity resolution, anomaly detection, master data integration, and pipelines. Combine only the areas you need, delivered in a form your team can use right away.
Data Inventory & Assessment
Before
We catalog internal and external data sources and evaluate their quality, freshness, and usability.
Structuring Forms & Spreadsheets
Before
Paper delivery slip
+ handwritten note: "batch next time"
We convert paper forms and local Excel files into structured data using OCR and parsers.
Deduplication & Entity Resolution
Before
We consolidate customer, product, and people master data, resolving naming inconsistencies and duplicates.
Missing & Anomalous Value Detection
Before
We combine rules, statistics, and machine learning to detect anomalies — and design the imputation logic to fix them.
Master Data Integration
Before
We unify master data scattered across systems so records can be referenced with a single shared ID.
ETL/ELT Pipelines
Before
We build reproducible pipelines that keep clean data flowing, day after day.
Team
Hands-on and meticulous. We work as a small team.
AIready is a small team founded in Tsukuba, Japan, to face the unglamorous side of data work head-on. Data engineers and business analysts work as one team on every engagement.
Everyone says data matters — yet the work of cleaning it up is thankless and rarely celebrated. We aim to be one of the few teams that takes on that work as its specialty.
Tsukuba, Japan
Based in Tsukuba, Ibaraki
Founded 2024
Established in 2024
Data first
A team dedicated to data readiness
On-site partner
We come to where the work happens
Partner
Partners
Companies working alongside us on data readiness and AI adoption.
Ubitus K.K.
Let's talk
Let's start with a conversation about your data.
"We have the data, but don't know where to start" is a perfectly good starting point. We work online or on-site — whichever suits you.