IndiaTickerCompany and sector research
Build a source-linked record around a company, promoter, peer set, transaction or special situation.
Evidence pack · chronology · peer map · open questionsIndiaTicker Research & Data Services
We build the data work behind serious research.
Bring us a difficult India-focused research question. We can find the evidence, structure the data, build the collection pipeline and turn the method into a system your team can keep using.
Limited concurrent mandates. Scope depends on sources, rights, history, latency, delivery format and ongoing maintenance.Your question“What evidence would change this decision?”
SourcesEntitiesSignals
Dataset
Pipeline
Research tool
The services arm
Research that leaves infrastructure behind.
A one-off answer can be useful. A maintained evidence trail is more valuable. We design each mandate so the collection logic, entity mapping and validation rules can become reusable IndiaTicker infrastructure or a system owned by your team.
Data collection and reconstruction
Collect public or licensed records, recover history, preserve originals and reconcile them to the right entities.
Raw archive · structured dataset · provenance ledgerMonitored data pipelines
Turn a useful research method into a restart-safe pipeline with queues, controls, QA and exception handling.
Crawler · inventory · reconciliation · runbookEntity and relationship graphs
Resolve companies, securities, people, subsidiaries, institutions and proceedings into one navigable model.
Identifiers · relationships · confidence · evidenceAI-ready evidence layers
Prepare cited, retrieval-ready company context for private models and agents without losing the source trail.
Corpus · retrieval contract · eval set · review workflowInternal research products
Build a focused search, monitoring or analysis workspace around your team’s decision process.
Research UI · API · alerts · access controlsProve the method before scaling the machinery.
The first deliverable is a real slice of the problem, with actual sources and visible gaps. That tells us whether a larger build is worth doing.
- 01Define the decision
Start with the question, user and consequence. Not a shopping list of fields.
- 02Map the evidence
Identify sources, rights, history, identifiers, gaps and validation rules.
- 03Prove one slice
Deliver a bounded sample with real source material before scaling the build.
- 04Build the system
Create the dataset, pipeline, interface and audit trail around the proven method.
- 05Operate or transfer
Run it as a managed program or hand over code, data contracts and runbooks.
For teams with a valuable question and no clean dataset.
Investment and credit teams
A repeatable edge around companies, sectors, ownership, ratings or events.
Corporates and promoters
A clear record of the company, its peers, public narrative and unresolved data gaps.
Data and AI builders
India-specific entities, evidence and pipelines that can support a product at scale.
Advisers and researchers
A defensible source trail for diligence, disputes, transactions or published work.
What you receive
Evidence, data and an operating method.
- Original source objects with URLs, dates, hashes and provenance
- A documented schema and entity-matching contract
- Coverage, exception and reconciliation reports
- Code, deployment controls and runbooks where a pipeline is built
- Clear rights and publication boundaries for each source
- AI outputs labelled separately from observed or calculated facts
Commercial structure
Start with a paid proof. Build what earns the right to continue.
Engagements can progress from a scoped diagnostic to a data or product build, then to a managed annual program. We price for the research outcome, source complexity, delivery rights and operating burden.