Databases
Neo4j Brings Graph-Based AI to Financial Crime Detection and Investigation
The company said the solution combines graph technology with a reusable knowledge layer intended to provide the context needed for enterprise AI applications.
The Left Shift Bureau brings you sharp, original reporting and analysis on India’s AI and technology ecosystem—covering startups, enterprise AI, innovators, funding, products and the people shaping what comes next.
Databases
The company said the solution combines graph technology with a reusable knowledge layer intended to provide the context needed for enterprise AI applications.
SaaS
HubSpot said the system combines these capabilities to create what it calls “Growth Context,” bringing together information about prospects, employees and customers.
Databases
Continuum pools capacity across multiple databases, automates operational tasks and uses consumption-based pricing.
Internet
The company announced an “Accountable” designation for AI crawlers alongside a new “Disallow AI Training” setting.
AI Startups
The platform connects data from areas including finance, operations, customer engagement, market intelligence and productivity system.
SaaS
AIforce forms a new layer in Salesforce’s broader “Agentic Enterprise” architecture.
AI Models
Salesforce said Koa was developed by post-training NVIDIA Nemotron 3 Super on a proprietary synthetic dataset.
AI Startups
Beatoven.ai had built its technology around an approach focused on ethically licensing music and developing foundational models from scratch
Developer's Corner
He adds AI is not good enough for high performance software.
Indian IT
TCS will deploy an integrated technology platform designed to give DGCX greater flexibility, improve operational efficiency and enable faster development of new financial products.
Funding
The new capital will be used primarily for research and development, product expansion and scaling its global enterprise sales operations.
Quantum
The platform provides an environment to simulate algorithms, error-correction methods and QPU architectures, allowing researchers to compare configurations and identify potential bottlenecks earlier.