DAISORO

Enterprise data intelligence

Hard-to-obtain datasets for enterprise AI decisions.

DAISORO builds evidence-backed, AI-ready market datasets for enterprise decision systems — starting with telecom pricing and promo intelligence.

Request sample datasetExplore datasets

Evidence-backed records

AI-ready schemas

Cloud delivery

MARKET SIGNAL CONSOLE

Fragmented signals become inspectable records.

record pipeline

Web

App

PDF

Retail

Partner

PriceCapturedbase_price_localcapture 00:04
PromoStructuredpromo_price_localversioned
EligibilityVersionedeligibility_ruleevidence ref
BundleEvidence attachedbundle_inclusionqa: passed
Fine printQA passedterms_summarystable id
version hash

vh_84f3c2a9

evidence ref

ev_2026_0418

delivery

csv / api / cloud

Why now

AI decisions are limited by the data they can trust.

Enterprise models and agents only become useful when market data is structured, current, and tied to durable evidence references.

Models are available; usable market data is not.

Public market signals are fragmented across channels.

Pricing, promo, and product data change continuously.

Enterprise AI needs structured records, not screenshots and spreadsheets.

What DAISORO builds

From fragmented market signals to AI-ready datasets.

The missing data layer for enterprise AI decisions: market observations converted into structured, versioned, deliverable data products.

01

Market signal

02

Structured record

03

Evidence reference

04

Version history

05

Enterprise delivery

Telecom first

Starting with telecom pricing and promo intelligence.

Telecom is the v1 focus because pricing, promos, bundles, eligibility, fine print, and channel presentation change faster than manual research can reliably track.

T1.1

Global Offers & Tariff Time-Series

Primary focusTelecomPricing & Promo Intelligence

Captures telecom plans, tariffs, allowances, terms, roaming, promos, evidence, and version history across operators and channels.

Use cases
Competitive pricing intelligencePromo simulation inputs
Key fields
Operator, segment, and PlanIDBase, promo, and contract pricing
View dataset
T1.2

Promo Event Log

Primary focusTelecomPricing & Promo Intelligence

Tracks promotional launches, removals, extensions, eligibility changes, and message variations across public channels.

Use cases
Promo calendar reconstructionCompetitor move detection
Key fields
Promo ID and PlanIDPromo start, end, extension, and removal dates
View dataset
T1.3

Channel-Specific Pricing Matrix

Primary focusTelecomPricing & Promo Intelligence

Compares offer presentation, pricing labels, and terms across web, app, retail, PDF, and partner channels where publicly observable.

Use cases
Channel parity monitoringOffer governance review
Key fields
Channel-level pricesExclusive web, app, retail, PDF, and partner promos
View dataset
T1.4

Hidden / Segmented Offers

Primary focusTelecomPricing & Promo Intelligence

Captures observable conditional, segment-specific, and journey-dependent offer patterns with evidence fields and eligibility context.

Use cases
Competitive pricing intelligencePromo and portfolio monitoring
Key fields
Youth, student, expat, SME, and loyalty segment labelsConditional prices and benefits
View dataset

Dataset catalogue

A structured catalogue of enterprise data products.

Search and filter by industry, use case, dataset family, status, buyer role, and evidence type.

IndustryUse caseDataset familyStatusEvidence type
Open catalogue

Record anatomy

Every useful AI workflow starts with records it can inspect.

DAISORO records expose source, channel, pricing, eligibility, version, evidence, and QA state so downstream systems can reason over the data surface.

RECORD ANATOMY

Fields an AI workflow can inspect.

telecom_offer_record
01record_id
02operator
03market
04segment
05channel
06plan_id
07base_price_local
08promo_price_local
09data_allowance_gb
10eligibility_rule
11first_seen
12last_seen
13change_type
14evidence_url
15screenshot_ref
16version_hash
17qa_status

SCHEMA PREVIEW

record_idstringStable record identifier
plan_idstringNormalized offer or plan key
channelenumWeb, app, retail, PDF, partner
base_price_localnumberObserved base price
promo_price_localnumberObserved promotional price
eligibility_rulestringSegment or rule label
version_hashstringChange tracking reference

Solutions

Built for enterprise decision workflows.

DAISORO organizes datasets around recurring decision systems rather than one-off research tasks.

Pricing intelligence

View workflow

Promo monitoring

View workflow

Competitive intelligence

View workflow

CVM and churn signals

View workflow

Regulatory monitoring

View workflow

AI agent inputs

View workflow

Delivery models

Delivered into the workflows your teams already use.

Start with sample structures, then scope repeatable delivery into analytics, data platform, or AI-agent workflows.

rail 01

file export

CSV / Parquet / JSON

Batch files for analytics, modelling, and internal data platforms.

rail 02

record access

API

Structured records for AI agents and application workflows.

rail 03

cloud handoff

S3 / GCS / Azure Blob

Cloud push into the storage layer your teams already use.

Motion explainer

See how fragmented signals become structured data products.

A controlled product-motion surface shows the record lifecycle from public signal capture through schema normalization, evidence references, version state, and delivery.

Fragmented signals to structured records

Signal capture, schema normalization, evidence references, version history, and delivery in one product loop.

Transcript

DAISORO captures public market signals, structures them into stable records, attaches evidence references and version history, and delivers them as files, APIs, or cloud pushes.

Next step

Build the market data layer your AI systems are missing.

Scope a datasetReview sample fieldsMap delivery rails
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