TechTorch

#Beacon #TechTorch

Introducing Beacon Revenue Management, TechTorch’s new family of agentic AI solutions designed to help your business find, win, and expand revenue. Not flashy POCs, no empty promises, no AI hype; these are real agents, powered by real data, connected to real systems, and supported by real humans in the loop to drive meaningful outcomes. We’re excited to unveil four purpose-built agents designed to transform every stage of the revenue engine. 🔵 Beacon Demand Generation Turn prospects into pipeline. Beacon identifies the right leads, nurtures them automatically, and prioritizes outreach so teams can focus on high-intent buyers. 🟠 Beacon Deal Acceleration Win smarter and faster. Beacon prepares your meetings, builds proposals, and guides next-best actions to help reps turn momentum into closed deals. 🟣 Beacon Revenue Operations Protect every dollar. Beacon ensures accurate quoting, optimized pricing, clean contracts, and precise billing; eliminating revenue leakage from end to end. 🟢 Beacon Customer Expansion Grow by delivering more value. Beacon engages customers proactively, resolves issues instantly, and surfaces tailored offers to drive deeper relationships and expansion. These agentic solutions are built to work together; powering a fully aligned, AI-driven go-to-market engine that helps teams move faster, win more, and scale revenue with confidence. 🔥 The future of go-to-market is agentic. And it’s here. #Beacon #TechTorch

Still making decisions without the data you need? For many companies, data is everywhere, but trusted, connected, and actionable data is not. Reporting takes too long, insights are inconsistent, and teams operate without a single source of truth. At TechTorch, we help organizations turn chaotic data landscapes into AI-ready, insight-driven systems. Our Data & Business Intelligence capability focuses on four core areas: • #Reporting & Intelligence Dashboards and models that teams actually use, aligned around shared metrics and built for fast, accurate decision-making. • #DataWarehouse Modernization Centralized, scalable data foundations using tools like Snowflake, BigQuery, Redshift, dbt Labs, and Databricks. • Source #DataQuality Fixing messy, duplicated, or disconnected data across systems like Salesforce, HubSpot, Fivetran, and Informatica. • #DataGovernance Policies and tools that make data compliant, trusted, and accessible without slowing teams down. The impact is real: A manufacturing client achieved 60% fewer duplicates and 40% faster reconciliation after streamlining their data foundations. If your teams are still struggling to get the data they need, quickly and reliably, modernizing your data infrastructure is the fastest path to clarity and confidence. Learn more about how TechTorch helps teams clean, connect, and activate their data: https://lnkd.in/dvQawutP

Revenue management is at the core of our DNA. Time is now.

hi Harry Stebbings, need help figuring out the customer service AI agent space? Your post on X highlights the mix bag of new joiners and old players in that space. Hard to tell how this pans out with so much noise. So we thought looking at market shares could help cut through the noise and here are some findings: -> AI-driven startups rapidly challenge incumbents, achieving scale quickly; legacy firms respond with major acquisitions. -> Market is shifting to autonomous agents with success-based pricing; enterprises need tools validating resolution performance and AI spend impact. -> Value comes from deeply integrated AI agents delivering personalized resolutions, removing handoffs; leading vendors prioritize easy deployment and integration. -> Voice AI’s natural, adaptive dialogue enables revenue-driving insights from emotion cues, shifting KPIs from efficiency to retention, conversion, and growth. Got more details in the full report (link in comments)

Databricks vs Snowflake As Snowflake’s market cap approaches Databricks $100B valuation, new business relationships drive the battle for AI and data leadership… New business relationships reveal the extent of the data platform wars: Snowflake and Databricks are locked in a drag race to win AI company relationships. A fifth of the hottest AI companies – including every major foundation model provider, infrastructure giants, and critical data tooling – are partnering with BOTH platforms. So, where are the strategic splits happening? Snowflake has fortified the enterprise data cloud with governance and accessibility partners that traditional buyers demand. Plus, AI data activation partners help turn Snowflake into a mission-critical customer engagement engine. Databricks is redefining enterprise data infrastructure for the AI era. Their recent key business relationships double down on the ML/AI stack and highlight technical depth and specialized AI tooling. Both claim to be the unified platform for all workloads. Databricks wins technical buyers who need flexibility for custom AI applications. Snowflake wins SQL simplicity and zero-maintenance operations. Locked in fierce head-to-head, where is each placing bets for the next wave of growth? Hiring insights reveal strategic direction for 2026: 🔴 Databricks is building production AI for the most demanding environments. They're hiring for an enterprise and regulated industry focus, aiming squarely at Snowflake’s current leadership. Watch for major government/defense contract wins in Q1-Q2 2026 and deepening vertical capture in FSI and healthcare, where AI compliance matters most. 🔵 Snowflake is building the distribution machine and playing catch-up in AI/ML arenas where Databricks took an early lead. They're professionalizing services to make switching easier and weaponizing the 10,618-customer installed base through partner leverage. Expect aggressive bundling with SaaS leaders (Salesforce, SAP, ServiceNow, etc.) and hyperscaler marketplaces. The competition is accelerating with Databricks hiring for deep technical AI deployments with customers and Snowflake hiring for ecosystem leverage and services-led growth. Both strategies can win – but highlight different 2026 playbooks. The business relationship and hiring battles we're seeing today? Just table-setting for the distribution and technical wars ahead. P.S. Want more data and insights on what’s next in the Snowflake vs Databricks battle? Comment “platform wars” below for *free* access to CB Insights predictive intelligence.

Still making decisions without the data you need? For many companies, data is everywhere, but trust, visibility, and speed are missing. Reporting takes weeks, insights lag behind reality, and critical decisions happen without a complete picture. At TechTorch, we help businesses turn disconnected data into a connected advantage. Our #Data & Business Intelligence capability unifies your systems, automates reporting, and builds the scalable foundations you need for #AI-driven insights. From fixing source data and automating reports to modernizing your data warehouse and governance, we help teams: - Cut reporting cycles from weeks to hours - Eliminate duplication and errors - Deliver dashboards that teams actually use - Build trusted, compliant, AI-ready data foundations It’s not just about better data, it’s about better decisions, faster. 👉 Learn how we help teams modernize their data operations:https://lnkd.in/dvQawutP

Transforming #PrivateEquity Growth with AI-Driven Operational Excellence Private equity firms and their portfolio companies are under constant pressure to scale smarter and faster, but too often, growth gets trapped in inefficient systems, manual processes, and disconnected workflows. At TechTorch, we help leaders unlock that value with a modern operating model powered by AI agents and intelligent systems. Our capabilities span across: - #CommercialExcellence: Optimize GTM infrastructure, automate quoting and billing, and accelerate revenue realization. - #Data & Business Intelligence: Unify data, improve forecasting accuracy, and turn insights into action. - #AI & #AgenticSystems: Deploy AI agents that streamline diligence, automate reporting, and detect revenue leakage in real time. We help teams move from concept to measurable impact, in weeks, not quarters. Curious how it all fits together? 👉 https://lnkd.in/dhwBQd4K See how TechTorch transforms operations across #GTM, finance, and data with AI-driven precision. 👉 Learn more about our capabilities: https://lnkd.in/dDMSYXKP

What an energizing week in #Chicago with our incredible TechTorch Delivery Team!    We came together for our annual offsite to align on strategy, deep-dive into our client journey, and strengthen the collaboration that fuels our delivery excellence. From breakout sessions on best practices to lively dinners downtown, this team’s passion and commitment to our client's success were on full display.   A huge thank you to everyone who traveled in, shared insights, and made this offsite one for the books. Excited to take our learnings and momentum into the next chapter of growth!   #TeamTechTorch #DeliveryExcellence #ClientSuccess #GrowthMindset

A Few Reflections from Dreamforce 2025 in San Francisco The big themes that I captured: 🧠 From prompting to an agentic platform Salesforce repositioned Agentforce as a full-scale Agentic Platform, evolving from simple AI copilots to intelligent, autonomous agents that can reason, act, and collaborate across enterprise workflows. 🔓 From a walled garden to an open AI ecosystem Salesforce opened its AI development environment to multiple large language models, including OpenAI’s GPT-5 and Anthropic’s Claude, through new connectors and the Model Context Protocol (MCP). 🧩 Beyond CRM; into enterprise workflows The company expanded its scope beyond CRM, introducing agent-driven orchestration across IT Service Management, HR operations, and other enterprise functions (positioning it against incumbents like Microsoft and ServiceNow) 🤖 AI, AI, and AI; still the only thing that matters AI dominated every keynote, demo, and announcement. From Agentforce to Data Cloud, Slack, and Einstein updates, every product line centered on AI enablement; reaffirming Salesforce’s commitment to becoming an AI-first enterprise platform. What I think it means for the immediate future: Salesforce’s 2024 ambitions (Agentforce, Data Cloud, and AI copilots) didn’t fully meet expectations. Limited out-of-the-box use cases, integration complexity, and customer hesitation around data lock-in slowed adoption. In 2025, Salesforce is betting everything on AI agents and openness to regain momentum. This strategy opens powerful possibilities but also exposes key challenges: ❓ Cultural Shift: Salesforce’s sales model and DNA remain CRM-centric. Success will depend on how quickly it can evolve to sell enterprise AI and workflow automation solutions. ❓Execution Gap: The CPQ-to-RCA transition and product complexity continue to frustrate customers. Addressing these fundamentals will be critical for trust and retention. ❓Competitive Pressure: Microsoft and ServiceNow have built stronger footholds in AI-driven workflows and ITSM. Salesforce must show tangible ROI and faster time-to-value to close the gap. ❓Adoption & Skills: Enterprise AI maturity lags far behind the innovation curve. Salesforce’s challenge is to make the agentic enterprise achievable, not just aspirational. Dreamforce 2025 was Salesforce’s declaration that it intends to redefine itself; not just as a CRM giant, but as the platform for autonomous enterprise agents. The vision is bold. The next 12 months will show whether execution can match it.