AI Launches: Infrastructure, Mobile Phones, Sales, Cloud & Crypto

The Tech Panda takes a look at recent launches in the superfast field of Artificial Intelligence (AI).

Infrastructure: AI Infrastructure Ecosystem Partnership Program, Bringing Real-Time Security to India’s AI Inference Layer

As India races to cement its position as a global AI powerhouse, San Francisco based Operant AI launched its AI Infrastructure Ecosystem Partnership Program to embed real-time AI defense directly into the inference infrastructure powering the world’s most demanding enterprise AI workloads.

“We are at an inflection point where the scale, speed, and autonomy of AI systems have outpaced the security controls designed to govern them.The path to responsible AI isn’t just about building better models—it’s about securing them at the moment they matter most,” said Vrajesh Bhavsar, Co-founder and CEO at Operant AI. “As Indian enterprises deploy AI models and agents across financial services, healthcare, and public sector environments, the inference layer is where security must be enforced. Our GPU-accelerated AI Gatekeeper and MCP Gateway, combined with the GPU Ecosystem Program, deliver the speed and protection that India’s production AI systems demand.”

FEATURES

• Prompt Injection Detection and Blocking: Real-time analysis at inference time prevents malicious prompts from altering model behaviour, extracting training data, or bypassing safety constraints
• Zero-Day Attack Protection: Behavioural monitoring detects anomalous patterns in how models are queried or how agents interact with tools, blocking novel exploits before they succeed
• MCP Security for Agents: Runtime validation of agent actions and tool calls ensures autonomous systems operate within safe parameters, preventing unauthorised resource access or unintended behaviours
• Intelligent Rate Limiting: Inference-time controls reduce unnecessary model invocations and prevent costly token consumption from automated attacks or inefficient agent behaviours, optimising operational costs while maintaining security

Mobile Phones: The First OpenClaw-Powered Mobile AI Agent Designed for Emerging Markets

TECNO will soon begin beta-testing TECNO EllaClaw, the first mobile AI agent powered by OpenClaw and designed for emerging markets. Built through deep integration of the OpenClaw agentic framework with Ella, TECNO’s AI assistant, TECNO EllaClaw operates at the system level and is purpose?built to handle complex, multi?step, and long?duration tasks.

FEATURES

• Users can activate EllaClaw directly within Ella, rather than through a separate entry, making access simpler and more intuitive than many comparable agent solutions.
• Three tiers of capabilities will be available on the beta version of EllaClaw. At its most immediate level, EllaClaw can handle One-Sentence Automation: a single instruction — even expressed in natural or ambiguous language — is enough for it to autonomously execute the task, turning simple inputs into real outcomes across scheduling, file management, and beyond.
• Underneath that sits Cross-App Data Integration, which can operate at the system level to connect SMS, calendar, notes, and more, automatically aggregating content so nothing important slips through.  
• Through a persistent memory system, TECNO EllaClaw will be able to learn user habits and preferences over time, proactively surfacing relevant information and expanding its skills as it goes.
• Designed with privacy safeguards, with user data isolated and inaccessible to unauthorized users or third parties.

Sales: A Ready-To-Use AI GTM Agent for Founders & Sales Teams

TableSprint launched Fernor, a ready-to-use AI go-to-market (GTM) agent built to help founders and sales teams handle customer conversations, qualify leads, and scale outbound outreach without needing engineering support.

“Founders and sales teams shouldn’t need to build AI agents from scratch just to engage their customers,” said Abhijeet Kumar, Founder and CEO of TableSprint. “With Fernor, we’re giving them an AI agent that’s ready to deploy, so they can focus on closing deals, not managing technology. It’s like having a 24/7 sales rep that never misses a lead.”

FEATURES

• Brings together chat, conversational voice, and outbound calling into a single AI platform designed to help founders and sales teams manage inbound conversations, follow up with leads, and run outbound sales more efficiently.
• Designed for SaaS startups, ecommerce companies, and service businesses looking to automate sales engagement without building complex AI infrastructure.
• First of its kind self service agent builder for non-developers
• AI chat and voice agents engage website visitors in real time, answer product questions, qualify leads, and book demos.
• The system automatically calls inbound leads to ensure prospects receive quick responses.
• Teams can upload prospect lists and allow Fernor to run outbound calls, qualify prospects, and schedule meetings.

Cloud: Sovereign Agentic AI-as-a-Service Platform for the Indian Market

AceCloud, an AI-powered cloud infrastructure provider, announced the availability of Agentic-AI-as-a-Service as part of its cloud platform. This comprehensive solution empowers enterprises, startups and public sector organizations to design, deploy and scale autonomous AI agents and multi-step workflows on secure, India-hosted infrastructure — all at significantly lower cost and higher performance than traditional hyperscaler offerings.

Vinay Chhabra, Managing Director, AceCloud, said, “Enterprises are reaching a point where experimentation with AI is no longer enough. The focus is shifting toward execution at scale, with clear governance and operational control. By introducing Agentic AI-as-a-Service, we are enabling organizations to deploy autonomous workflows on sovereign infrastructure that is designed for production use and aligned with data sovereignty requirements.”

FEATURES

• The offering brings together scalable cloud compute and GPU infrastructure, databases, and enterprise networking with pre-hosted, production-ready agentic applications — all within sovereign Indian infrastructure aligned with the Digital Personal Data Protection Act (DPDP Act).
• Organizations can deploy and run agentic workflows on apps/tools of their choice without the overhead of provisioning or maintaining complex infrastructure.
• The platform supports workflows that can reason, take actions across enterprise systems, and operate continuously with predictable performance.

Crypto: AI Trading Assistant Bringing Institutional-Grade Insights to Retail Investors

Bitget, the Universal Exchange (UEX), announced a strategic product partnership with MuleRun, an industry-leading self-evolving AI Agent, to launch a personal AI-powered trading assistant that brings institutional-grade market signals to everyday investors through natural language.

“We see a clear shift toward trading environments where analysis, monitoring, and execution are increasingly unified,” said Gracy Chen, CEO of Bitget. “Partnering with MuleRun helps us move in that direction by combining Bitget’s market intelligence capabilities with a highly accessible personal AI interface.”

FEATURES

• Lets users deploy workflows through natural language with no technical setup.
• Runs 24/7 on cloud-based virtual machines and is built to keep tasks, monitoring, and scheduled jobs running continuously, even when users are offline.
• Users can now access structured market analysis, monitor opportunities across asset classes, and build automated trading workflows through simple conversation, without requiring technical expertise.
• MuleRun users gain access to a financial analytics framework spanning 19 data tools across crypto, U.S. equities, gold, crude oil, forex, A-shares, on-chain metrics, social sentiment, and 16 macroeconomic indicators including CPI, GDP, and FOMC decisions.