Traditional data services deliver records. Intelligent Data Services deliver momentum. In APAC’s multilingual, committee-driven buying landscape, conversion depends on how well GTM engines understand adoption readiness, buying triggers, stakeholder influence, and timing — not just who the prospect is. Databases without lift signals inflate CAC, derail targeting accuracy, and leave marketing and sales operating on assumptions instead of probabilities.
Agentic-Led IDS addresses this dilemma by transforming fragmented market data into predictive revenue intelligence — enriched, validated, and constantly evolving through technographics, firmographics, intent signals, ICP scoring, IT budget mapping, and persona behaviour frameworks. Instead of targeting a long list, campaigns are autonomously routed toward accounts with rising intent, stakeholder urgency, and budget availability — ensuring outreach lands before competitors, not after the buying cycle matures.
Technologies tracked for ICP & propensity accuracy. Companies
Businesses profiled for target-market precision
Decision-makers contacts mapped
Industries covered for industry-tuned campaigns that convert.
Senior VP & Global Head
“IDS is no longer about contact discovery — it is about powering every GTM motion with dynamic identity, intent, and revenue propensity. With autonomous enrichment, probabilistic scoring, and persona-level intelligence fueling the pipeline, enterprises are not just accessing data at scale; they are activating conversion-ready demand across channels, regions, and buying committees.”
Most B2B databases are built to inform — not to convert.
Static enrichment, periodic refreshes, and CSV exports may improve CRM hygiene, but they don’t move pipeline without understanding who is buying, when, and why. Marketing cannot personalize without persona intelligence. Sales cannot prioritize without intent and timing signals. GTM teams cannot scale without multilingual and tech-fit relevance. That’s why businesses don’t lose deals due to lack of reach — they lose deals due to lack of relevant intelligence. Agentic-led IDS closes this gap by enriching, validating, scoring, and prioritizing every account and persona — so marketing, sales, and ABM execute with precision, not assumption.
of sales time is wasted in
targeting lists, not live demand
higher bounce rates
because of static segmentation
of CRM data decays yearly
without evolving intelligence
higher compliance risk
without DNC checks
higher win rates with
localized data and cultural personalization
of Malaysian buyers
prefer multilingual outreach
of sales time is wasted in
targeting lists, not live demand
higher bounce rates
because of static segmentation
of CRM data decays yearly
without evolving intelligence
higher compliance risk
without DNC checks
higher win rates with
localized data and cultural personalization
of Malaysian buyers
prefer multilingual outreach
Agentic-led IDS runs on IntelliBank — the unified intelligence system that transforms fragmented B2B data into adaptive buyer insights across accounts, personas, industries, and markets. Instead of static enrichment cycles, IntelliBank ingests predictive signals that reveal who is buying, when they’re buying, and why they’re buying — long before traditional GTM indicators appear.
IntelliBank doesn’t just store data — it models buying behaviour at scale. As intent rises, budgets shift, technology stacks change, or new decision-makers enter the picture, IntelliBank recalibrates scores, segments, and ICP readiness. This helps GTM teams focus effort where revenue probability is highest and activate the market at the exact moment demand peaks.
For revenue leaders across Malaysia and APAC, IntelliBank finally makes pipeline predictable: a single predictive view of which accounts are in-market, which personas matter, what signals matter most, and how buying committees are evolving week over week.
Target Data
Generic global datasets with no regional filters.
Malaysia and APAC tuned ICP intelligence with PDPA, DNC, exclusion lists, and Bahasa readiness baked in.
Data Coverage
US/EU-heavy datasets, weak SME visibility in APAC.
Deep SME + enterprise coverage across Malaysia & ASEAN with real buying landscapes, not scraped lists.
Data Accuracy
Static contacts, no validation, high bounce risk.
Agentic validation + phone ring checks + email scoring to maximise deliverability and reduce wasted effort.
Profiling Depth
Basic public data; no technographics or demand signals.
Persona, technographic, and intent-led intelligence that predicts adoption readiness and narrative fit.
Niche Insights
No visibility into licenses, hiring trends, or expansion clues.
Local growth triggers — digital maturity, geo-expansion, hiring surges, regulatory indicators, and tender signals.
Sales/GTM Support
No campaign alignment or intelligence feedback loops.
In-region GTM support that improves lists, filters, and scoring based on live campaign performance.
Data Maintenance
One-time dump with rapid decay and no refresh cycles.
Continuous enrichment cycles that keep personas, committees, and tech stacks always updated.
Pricing Model
Pay for access; expensive add-ons for accuracy.
Pay for outcomes — pricing aligned to pipeline impact, not database volume.
Smarter prioritization. Faster pipeline activation. Identifies conversion-ready accounts and stakeholders using predictive scoring and persona intelligence to accelerate qualified pipeline across APAC.
Data-led demand creation at digital scale. Transforms digital engagement into measurable growth using predictive audience modeling, value reinforcement, and continuous APAC-native retargeting.
AI-guided outreach that converts intent into conversation. Drives multilingual, intelligence-assisted conversations with next-best-action models that turn interest into meetings and meetings into revenue.
Predictive engagement. Full-funnel acceleration. Activates precision buyer journeys across channels with adaptive sequencing that scales intent, urgency, and conversion probability automatically.
Predictive partner orchestration for accelerated growth. Unifies intent signals, account intelligence, and MDF utilization insights to accelerate co-sell velocity, maximize ROI, and scale ecosystem revenue.
