South African businesses are paying agencies too much for social media that doesn't work. ContentStack changes that. AI-powered content built for local businesses — short-form video, posts, copywriting. Monthly retainers, real results.

EPAM helped McKesson Corporation modernize its B2B Connect Portal — re-platforming it with modern composable architecture, leveraging Contentstack. Read more in our case study: ow.ly/sxW850Z9NwU

AI Weekly Roundup (June 7-12) Developer Utilities NVIDIA Nemotron Specialist Models — Speech, RAG, Safety (Launch Date: 06/11/2026) Core Function: A trio of open model families adding low-latency ASR (Nemotron Speech), multimodal embed/rerank VLMs (Nemotron RAG), and guardrail models (Nemotron Safety, including Llama Nemotron Content Safety and Nemotron PII) on top of the existing Nemotron 3 lineup. Key Innovation: The new ASR model delivers roughly 10x faster performance than others in its class, and the RAG models target multilingual/multimodal document retrieval rather than text-only — filling the non-LLM gaps most open stacks still outsource to closed APIs. Access Type: Open weights (NVIDIA Open Model License), with NIM deployment paths. Niteshift (Launch Date: 06/11/2026) Core Function: A coding-agent platform that routes developer workloads across multiple models (OpenAI, Anthropic, open-source) and sells the surrounding infrastructure rather than tokens. Key Innovation: It positions itself as an "unbundler" to avoid vendor lock-in, with operational controls — model routing, vetting, test suites, per-minute pricing — sitting above any single model. Access Type: Paid (infrastructure/seat-based); launched alongside a seed round. Cresta Conductor (Launch Date: 06/12/2026) Core Function: A developer-first engine that builds production customer agents directly from real conversation logs, generating blueprints, prompt logic, subagent orchestration, and the custom code for deterministic actions. Key Innovation: It grounds discovery in actual conversation data and generates code and orchestration rather than just prompts, shortening the prototype-to-audited-agent path instead of leaving integration as a manual step. Access Type: Paid / Enterprise. Productivity & Enterprise Contentstack Agentic Experience Platform (AXP) Agent OS (Launch Date: 06/10/2026) Core Function: A platform bundling a governed Content Cloud, a real-time Data Cloud, and Agent OS — agents that act with that context — with Agent OS now generally available. Key Innovation: It grounds agent actions in governed content and live customer signals to stop off-brand or context-free outputs, aiming the differentiation at brand-safety rather than raw capability. Access Type: Paid / Enterprise (Agent OS at GA). Zscaler Agentic Zero-Trust (AI Broker Agent Registry) (Launch Date: 06/10/2026) Core Function: An extension of the Zero Trust Exchange to agents — an AI Broker with an Agent Registry to control agent-to-agent and MCP traffic, Endpoint AI Security to inspect local AI tools, and an AI Access Graph mapping identities, apps, and data. Key Innovation: Purpose-built controls for autonomous agents — identity, fine-grained access, endpoint detection — instead of retrofitting legacy tooling, targeting the transient-identity problem agents create when they spawn sub-agents. Access Type: Paid / Enterprise (announced at Zenith Live). Linx Security Agentic Access Control (Launch Date: 06/10/2026) Core Function: An inline MCP gateway that inspects every agent tool call and enforces allow/deny decisions in real time, with tool-level enforcement and audit logging tied to the calling identity. Key Innovation: Per-call adjudication and attribution for agent actions — the enforcement layer most "agent governance" pitches describe but don't actually intercept. It's available now for Linx customers. Access Type: Paid (live for existing customers). agnt8x (EightX Labs) Agent Workforce Platform (Launch Date: 06/08/2026) Core Function: A public platform for recruiting, onboarding, operating, and monetizing AI agents — a builder marketplace, a unified Passport/audit trail, and a conductor for multi-agent orchestration. Key Innovation: It published an Agent Manifest (EAM) v0.1 under Apache 2.0 — a neutral, open spec is the differentiator versus provider-locked agent catalogs. Access Type: Public platform; EAM spec is Open Source (Apache 2.0). MetaMask Agent Wallet (Launch Date: 06/08/2026) Core Function: A self-custodial wallet that lets AI agents execute onchain trades across EVM chains and DeFi primitives under mandatory security checks. Key Innovation: A default guard-mode enforcing spending limits, allowlists, transaction simulation, and two-factor approval on policy edges, with covered transactions backed by Transaction Protection — it standardizes a safer custody pattern rather than handing agents raw keys. Access Type: Closed Beta (early access opened 06/08/2026). Omni HR — Mino (Launch Date: 06/08/2026) Core Function: An AI HR agent built on unified HR and payroll data for multi-country teams across Asia-Pacific, queried through a single interface instead of fragmented local systems. Key Innovation: It's built on a pre-reconciled multi-country payroll data layer, so the differentiator is the unified data substrate rather than the agent itself — the usual blocker for regional HR automation. Access Type: Paid / Commercial. Creative & Design NVIDIA RTX LTX-2 / ComfyUI 4K Video Acceleration (Launch Date: 06/09/2026) Core Function: RTX accelerations across ComfyUI, LTX-2, Llama.cpp, Ollama, and Hyperlink that unlock local 4K AI video, image, and text generation on AI PCs. Key Innovation: Pushes 4K AI video generation onto local consumer RTX hardware via the open LTX-2 model and ComfyUI graph workflow — keeping the generation pipeline off cloud APIs for creators who need local iteration. Access Type: Open Source tooling (LTX-2 / ComfyUI) on consumer RTX hardware. Cordial Composable Marketing Infrastructure (Launch Date: 06/12/2026) Core Function: A headless, LLM-agnostic stack exposing audience, message generation, validation, and send execution as standard services (MCP, CLI, API) so agents can run marketing work directly. Key Innovation: Agents orchestrate cross-system campaigns without brittle exports or platform-specific interfaces — the MCP-native exposure of send execution is what separates it from template-driven martech. Access Type: Paid / Enterprise.

Bravo to Ricardo Herrera for securing his @Contentstack Developer Certification, 🙌 #OshynLife #CareerDevelopment #Contentstack

MarTech360’S Weekly News Roundup With @PubMatic, @Contentstack, @commercetools, @tealium, @NielsenIQ, #Huge, @NICELtd And More! Read More: martech360.com/news/martech3… #commercetools #Contentstack #Huge #martech360 #news #NICE #NielsenIQ #PubMatic

The big agencies forgot about the small business. R25K/month retainers while the barber, the nail tech, the restaurant down the street gets ignored. That's the gap ContentStack is filling. Day 12. contentstack-za.polsia.app

Better digital experiences = more engaged customers. Explore the ShortList by @lizkmiller for DX Platforms to see which solutions are powering personalized, scalable digital journeys - zurl.co/Av2iW @acquia @Adobe @Contentstack @contentful @HCLSoftware @Kentico @OpenText @Optimizely @getpantheon @ProgressSW @Sitecore

@Contentstack has announced Agent OS and its Agent Accelerator program, helping organizations move from AI experimentation to governed, enterprise-ready agentic workflows. As an early access partner, we've had the opportunity to evaluate Agent OS and its approach to operational AI, governance, and enterprise adoption. 👉 Read the announcement contentstack.com/company/pre… #Contentstack #AgentOS #DigitalExperience #AI

Contentstack just launched an "AI execution gap" platform. Their research behind it: 95% of enterprise AI projects fail to deliver measurable ROI. Less than 2% have deployed agents at full scale. 88% of enterprise leaders wish they'd built the data infrastructure FIRST before deploying agents. That last number is the one that stays with me. The execution gap isn't a model problem. GPT-4, Claude, Gemini — the models are good enough. Have been for 18 months. The failure pattern is almost always the same: teams sprint to deployment, discover their data is a mess of unstructured PDFs, legacy CRMs, and inconsistent schemas, then watch the agent produce confident-sounding garbage at scale. You can't build an agentic workflow on brittle, unstructured data. The model will hallucinate its way through every gap. At 10x volume, those gaps become craters. The 88% who wish they'd done foundation work first found out the hard way. The 5% who are delivering ROI built in this order: clean data → defined workflows → narrow scope → agent deployment → expand scope. Most teams do the last two steps first. That's the execution gap. It's not that enterprises are bad at AI. It's that they're trying to build the roof before the walls.

Local businesses need content but can't afford agencies and don't have time to DIY. Built ContentStack — AI-powered done-for-you content for dentists, realtors, contractors. $1,500/month. No contracts.

love to see the banglore startup scene starting to include more women <3

backed by @claudeai @SattvaGroup @The_CXXO @nebiustf @Contentstack

Lmfao it's a joke

Yess

Thank you ! @aryangandhi597

Hehe excited

Thanksss

Frrr!!

Thank you so much for all your support!!

Day 9 of ContentStack. Pipeline's full. Revenue isn't. Sending cold emails to barbers and nail techs, hoping one of them bites before the subscription expires. R999/mo. Month-to-month. No agency minimums. contentstack-za.polsia.app