B2B Data Intelligence
Decision-grade intelligence on the companies and buying committees that define your addressable market, built to your specification and maintained over time.
Global B2B data intelligenceVerified business data,
Verified business data,
market intelligence, enterprise research
Kalash AI is a global B2B data intelligence partner. We build human-verified company, contact and event datasets, technology market intelligence and custom research — structured to your specification, AI-ready, and delivered in the format your teams already work in.
- Human-verified datasets
- AI-ready structured data
- Enterprise research methodology
Defined
Written specification before collection
Verified
Analyst review at the final gate
Delivered
Your schema, your cadence
Who we are
A data partner built for teams that can't afford to be wrong
Kalash AI is a B2B technology and research company. We work with international clients who need business data that holds up under scrutiny — in pipeline forecasts, in board decks, in model training runs and in procurement review.
Most data problems are not volume problems. They are definition problems: the market was described loosely, the schema drifted, and nobody verified the last mile. We start in the opposite place — a written specification, a sample you validate, then production.
01
Scope
We define the market, fields and success criteria together — in writing, before any work begins.
02
Sample
A representative sample lands first, so you can validate accuracy and structure against your own systems.
03
Build
Full production runs through automated pipelines with analyst verification at the final gate.
04
Deliver & maintain
Delivery in your format, followed by refresh cycles that keep the dataset accurate over time.
Our services
Eight capabilities, one accountable team
Engage a single service or combine them into a managed data programme.
Conference & Event Intelligence
Structured intelligence on the exhibitors, sponsors, speakers and organisations behind global industry events, prepared before commitments are made.
Technology Market Intelligence
Analyst-led category, vendor and adoption research that gives product, strategy and investment teams a defensible view of a moving market.
AI-ready Business Data
Structured, documented and governed datasets engineered for teams training, fine-tuning and evaluating production AI systems.
Data Enrichment
Restoration and extension of the records you already own, so routing, scoring, reporting and forecasting operate on information leadership can trust.
Custom Research Services
A dedicated analyst team operating as an extension of yours, for judgement-heavy questions no existing dataset can answer.
Data Verification
Independent, statistically grounded verification of records, sources and coverage, so accuracy can be evidenced rather than asserted.
Enterprise Research Solutions
Managed, multi-workstream data and research programmes delivered under a single standard of quality, governance and accountability.
Why Kalash AI
Built for enterprises that cannot afford wrong data
Four commitments that define how every Kalash AI engagement is delivered.
Human-verified datasets
Automation collects at scale; analysts verify at the final gate. Every record we deliver has been checked against a documented source before it reaches you.
AI-ready structured data
Clean schemas, consistent field definitions and normalised entities — data that loads straight into your warehouse, CRM or model training pipeline without rework.
Enterprise research methodology
Written specifications, sample-first validation, source provenance and a quality summary with every delivery. Methodology your procurement and compliance teams can review.
Custom delivery formats
CSV, Excel, JSON, API or direct warehouse and CRM load — delivered in your structure, on the cadence your operations run on.
How we work
A disciplined path from requirement to delivery
Four stages, each with a defined owner and a documented output — so you always know where a dataset stands.
Understand the requirement
We agree the market definition, fields, coverage and success criteria in writing before any collection begins.
Research & verification
Analysts and automated pipelines build the dataset together, with each record traced to a documented source.
Quality assurance
A multi-stage review checks accuracy, completeness, duplication and schema conformance before sign-off.
Delivery
You receive the dataset in your chosen format, with a quality summary and an agreed refresh cycle.
Who we serve
Trusted by teams across the sectors we know deeply
Sector context changes what good data looks like. These are the industries our analysts work in every day.
Technology
Account universes, technographic coverage and competitive intelligence for infrastructure and platform vendors selling into complex enterprise markets.
Software
ICP-scoped pipelines, stack signals and category landscapes for software businesses expanding into new segments and geographies.
Artificial Intelligence
Training, fine-tuning and evaluation datasets with documented provenance, plus market intelligence on a category that reshapes quarterly.
Cyber Security
Buying-committee mapping across security, risk and compliance functions, with the discretion and data handling the sector expects.
Healthcare
Provider, payer and life-sciences intelligence built with regulatory sensitivity and careful handling of personal information.
Manufacturing
Plant, supplier and distributor intelligence across industrial value chains, including hard-to-reach regional operators.
Retail
Banner, store-network and vendor intelligence for retail and consumer businesses operating across multiple markets.
Marketing Agencies
White-label data and research capacity so client campaigns launch on accurate targeting instead of assumptions.
Consulting
Engagement-scoped research support for consulting teams working to client deadlines and evidentiary standards.
Events & Conferences
Exhibitor, sponsor, speaker and delegate intelligence that supports floor sales, programming and attendee growth.
Technology expertise
Engineering, applied AI and analyst judgement
Automation handles scale. People handle nuance. Our stack is built so the two reinforce each other.
Data Engineering
Scalable collection, transformation and validation pipelines built for volume without sacrificing precision.
- Python & SQL pipelines
- Warehouse delivery
- Automated QA gates
Applied AI & NLP
Entity resolution, classification and extraction models that turn unstructured sources into structured records.
- Entity resolution
- LLM-assisted extraction
- Taxonomy modelling
Research Operations
Analyst-led verification workflows that keep judgement in the loop where automation alone falls short.
- Manual verification
- Source triangulation
- Coverage auditing
Integration & Delivery
Secure hand-off into the tools your teams live in, with schemas mapped and refresh cadences agreed up front.
- REST API delivery
- CRM sync
- Scheduled refreshes
Next step
Bring us the decision. We'll build the dataset behind it.
Tell us the market you're targeting and the questions you need answered. You'll get a written scope, a validated sample and a delivery timeline before any commitment.