The Hive is hiring!

The Hive

The Hive ( is a fund and co-creation studio based in Palo Alto, CA to co-create startups focused on AI based applications in the enterprise. The Hive works actively with founders to help create, fund and launch data-driven startups. The Hive team consists of successful company builders, serial entrepreneurs and investors who have created market-leading companies with several billion dollars in exits. The Hive invests in early stages of a startup and the typical investment size is $2M-$3M. Areas of focus include: Conversational Agents for Business, AI driven Enterprise Automation, IoT, Security, and Ambient Commerce.


Internship Project – Euclid
Internship Project – DeepDerm

Live Objects

Live Objects delivers continuous business process optimizations to the enterprise through AI-driven automation of discovery, design and process engineering by mining patterns in business objects, cases and transactions across all process variations. The product integrates deeply with business process management platforms (like SAP, Salesforce etc.) and delivers continuous process engineering natively as on-demand compositions through the platform’s interfaces. Live Objects’ path-breaking process-calculus engine models predictive, diagnostic and quality related projections for live cases in business processes. Its AI-driven on-demand process reengineering engine composes process enhancements with rule-based associations with business objects for delivering quantified time, process, margin and cost efficiency gains. The on-demand compositions can be subject to review by functional subject matter experts in CRM, ERP, MRP, order-to-cash etc. before deploying them into live business processes. Ongoing client engagements include self-optimizing a wide spectrum of business processes including master data management, order-to-cash, sales distribution and supply-chain management. The company is based in Palo Alto and venture funded by The Hive. The Hive is a fund and co-creation studio for AI powered enterprise applications.


Data Scientist
Backend Data Engineer

Infrastructure Architect
SAP Techno-functional Expert
VP Product


Peritus enables self-healing autonomous datacenters with automated, cognitive support for infrastructure software and hardware. It is a funded startup co-created at The Hive in Palo Alto, CA that delivers artificial intelligence based virtual support expert systems for datacenter service fulfillment and incident resolution.

As datacenter vendors move from on premise to the cloud their existing support system lacks the agility and cost-effectiveness for the cloud. Peritus significantly enhances operational efficiencies of existing support services, and enables managed service providers & system vendors to offer new business continuity entitlements. Peritus assists & automates a wide spectrum of decisions in system support including incident classification, routing, contract coverage, incident resolution recipes and orchestration of incident management between subject matter experts (SMEs).

Peritus’ unique vectorization of system log data drives predictive modeling with highly granular feature extraction for early detection of system events. The platform’s advanced natural language processing (NLP) capabilities drive Peritus’ incident modeling and predictive capabilities. The core service fulfillment engine uses a combination of supervised and unsupervised methods to predict incident features from system log data. Peritus delivers automated orchestration of incident resolution through its close integration with existing incident management platforms.

Decision Engines

While RPA has certainly proven its value in the process automation ecosystem, current RPA solutions are unable to deliver the necessary level of automation and scale needed to make an enterprise wide impact. Current solutions are built on old rule based technologies and lack the cognitive capabilities that are crucial to automate knowledge processes, run bots in an unattended mode with intelligent exception detection and handling as well the ability to self-heal broken automations. From a solution standpoint, they were primarily designed for front office, assisted automation use cases and are not suited for high volume enterprise wide back office process automations. They are also designed as closed proprietary systems that require extensive vendor professional services to implement solutions leading to much higher implementation and maintenance costs. In fact, availability of qualified RPA professionals on each of these proprietary products is a big implementation hurdle today.

Decision Engines Intelligent Process Robotics platform utilizes deep learning and computer vision technologies that let’s Shared Service centers and BPO’s automate and run their automations in a lights out mode. The key enabling technology is the AI Process platform that comes built in with several self learning knowledge bots that handle tasks such as reconciliation, decision making, risk assessments, forecasting etc. Part of the platform is a innovative AI powered process orchestrator which natively understands processes flows and data at a semantic level. It significantly lowers process automation timelines and reduces dependency on professional services & IT by empowering business users to orchestrate these capabilities and auto create optimal process flows. The automation platform is delivered as a service and provides a service net which can be extensible by vendors and IT alike to provide infinite range of automation possibilities to their customers and business users. On the implementation side, it is designed to be be non-invasive and extends the existing IT stack by integrating seamlessly with in house BPM, SOA and ERP investments.


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