HCLTech vs Together AI

HCLTech Newsroom: HCLSoftware to Acquire Robotiq.ai, HCLTech launches AI-powered wealth study, M Group selects HCLTech for AI-led IT transformation, and more

HCLTech's newsroom features multiple press releases: HCLSoftware to acquire Robotiq.ai to enhance HCL UnO Agentic; HCLTech launches first-of-its-kind AI-powered study for wealth management; M Group selects HCLTech for AI-led IT transformation across 200+ locations; HCLTech named Leader in Everest Group's PLM Services PEAK Matrix; HCLTech launches The Silicon Shift report; HCLTech launches HCLTech Pulse; HCLTech named Leader in ISG Procurement Services; HCLTech and CrowdStrike expand partnership; HCLFoundation and UP government extend partnership.

HCLTech launches Advanced Semiconductor Lab with Rs. 185 crore investment

The Bengaluru facility strengthens India’s position in the global chip ecosystem and is set to drive semiconductor innovation. Also, HCLTech and Transport for NSW to explore AI-powered traffic insights for India.

The Customer Trust Framework Brands Will Need to Make AI Pay Off

This article from CMSWire discusses why only 18% of brands see revenue impact from AI adoption, attributing the gap to customer trust rather than technology. It introduces the 'Triangle of Trust' framework—authenticity, logic, and empathy—coined by Harvard Business School professors Frances Frei and Anne Morris as a method to build trust in AI-driven customer experiences. The author advises brands to beta test AI tools with a smaller customer group before scaling and to incorporate human-like, empathetic interactions to accelerate trust. The piece cites an HCLTech report and offers practical steps for brands to close the AI revenue gap.

• Only 18% of brands report seeing revenue impact from AI investments, according to an HCLTech report.
• The Triangle of Trust framework consists of authenticity, logic, and empathy.
• The framework was coined by Harvard Business School professor Frances Frei and Anne Morris.

Introducing Together Link: Run open models inside the harness you already use

Together AI announces Together Link, a new product that allows running open models within existing harnesses, alongside new research blog posts on ThunderKittens for NVIDIA Vera Rubin NVL72, ThunderAgent, and ICML 2026 participation.

Open or Closed AI: Founders' Choices at TechCrunch Disrupt 2026

The article previews upcoming discussions at TechCrunch Disrupt 2026 (Oct 13-15, San Francisco) on AI model strategy. It highlights how startups increasingly use multiple models—open and proprietary—for different tasks, weighing cost, performance, and flexibility. Sessions feature leaders from Together AI, Pathway, Oumi, Nvidia, and Ricursive Intelligence. Topics include whether to build, customize, or rent AI models, optimizing AI hardware (chip design), and trade-offs between frontier APIs (like OpenAI, Google) and open-weight models. The article emphasizes that model choice shapes product differentiation, infrastructure needs, and long-term business viability. It's a conference promotion with substantive insights on AI architecture decisions.

• TechCrunch Disrupt 2026 takes place Oct 13-15 at Moscone West, San Francisco.
• The conference features 200+ sessions, 250+ speakers, and 300+ exhibiting startups.
• Sessions cover multi-model strategies, custom model development, and AI-designed hardware.

Together AI Product Team Shares AI-Native Workflow Stack

Together AI's product team, including CPO Charles Zedlewski and PMs Necoline Hubner and Pavneet Ahluwalia, outlined their AI-native product development stack in a podcast. The stack comprises four components: a shared context repository accessible by any AI harness, skills for feature research and PRD writing, an orchestrator for leadership, and agent evals. The team emphasizes collective productivity over individual gains, using multiple models like GLM and Kimi instead of relying solely on Anthropic. They validate products through agent-based tests, checking if AI agents can complete tasks using their documentation and API. The article also highlights Together AI's $8.3 billion valuation from its Series C round.

• Together AI is valued at $8.3 billion.
• Together AI's product team uses a four-component AI-native stack: shared context repo, skills, orchestrator, and agent evals.
• The team uses multiple AI models (e.g., GLM, Kimi) rather than only Anthropic's models.