ALFA News
Straight from the exchange filing
Every announcement LTM has filed with the exchanges that we have reported, newest first. Each story links the original filing.
Every LTM announcement on ALFA FilingsSee filings →Reference market data from a third-party provider, as of the most recent story. Not a valuation or a recommendation.
LTM Ltd launches BlueVerse ValueMesh to industrialize AI for Oracle clients. The IT major reported Q2 revenue of ₹11,807.6 Cr and a $1.26 billion order inflow.
LTM expands collaboration with Google Cloud to launch a Gemini Enterprise CoE and Customer Experience Center to accelerate AI adoption and digital workflows.
LTM Limited launches BlueVerse AgenTraceIQ with Rubrik for AI governance. The firm reports Q1 revenue of ₹11,608 crore and a $6.65 billion order book for FY27.
LTM launches BlueVerse SovereignSphere AI models, including Sales and Marketing Pro and FinCast, to help enterprises build proprietary AI with ₹44,075 Cr TTM revenue.
LTM Ltd collaborates with IBM and Red Hat on Lightwell to advance AI-driven open-source software remediation. TTM revenue stands at ₹44,075 crore. (158 chars)
LTM Ltd executes a Share Purchase Agreement to acquire Randstad Digital entities across Europe and Australia, following successful Works Council consultations.
LTM Limited launches BlueVerse RightLogic, a new AI-focused cybersecurity assessment framework. LTM reports ₹42,307.6 Cr annual revenue and 20.88% annual ROE.
LTM Ltd launches AI1000, a strategic workforce transformation initiative to develop 1,000+ AI-certified engineers. Focus on enterprise AI scaling and deployment
LTM Limited launches its Managed Secure Service Edge (SSE) solution with Cisco at Cisco Live 2026 to enhance zero-trust security for enterprises globally.
LTM Limited launches BlueVerse M.A.X, an AI marketing orchestration solution on Salesforce. The IT services firm reported TTM revenue of ₹42,307.6 Crore.
LTM Ltd (540005) unveils its AI-powered Business Orchestration Platform to automate SAP operations, targeting 30% faster AI deployment and 40% less manual effort.
