Assembled
Assembled combines AI agents with advanced workforce management to give support teams the speed, flexibility, and control they need to excel. Our platform streamlines staffing for both in-house and outsourced teams, delivers forecasts with over 90% accuracy, and automates more than half of customer conversations. Whether it’s chat, email, or voice, Assembled orchestrates every interaction, allocating work between AI and human agents in real time. Leading brands like Stripe, Canva, and Robinhood rely on Assembled to boost performance and turn support into a growth driver. Key capabilities include scheduling, forecasting, live performance monitoring, vendor management, AI-powered chat, voice, and email agents, plus an AI Copilot that provides instant guidance, suggested responses, and rapid action tools for agents.
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Forethought
Forethought is the most advanced generative AI agent for customer support and your 24/7 AI team member. Trained on your unique data sets and upholding the highest security protocols, Forethought delivers natural conversations through AI and eliminates inefficiencies to improve response times, resolution rates, and customer satisfaction scores at every interaction.
- Add an AI Agent that is a 24/7 team member, reducing workload so your team can focus on delivering exceptional support.
- Only Forethought ingests historical and current ticket data for AI specific to your business needs to deliver a personalized experience.
- We're not just about meeting privacy standards – we're setting them, to keep you and your data secure every step of the way.
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Sarvam-M
Sarvam-M is an advanced, multilingual large language model that integrates hybrid reasoning to excel in various Indian languages, mathematical tasks, and programming challenges all within a single, streamlined framework. It is built on the foundation of Mistral-Small, boasting a robust architecture with 24 billion parameters, which has been refined through supervised fine-tuning, reinforcement learning with clear rewards, and optimizations for inference to enhance both precision and efficiency. This model is meticulously trained to proficiently handle over ten prominent Indic languages, accommodating native scripts, romanized text, and code-mixed submissions, thereby facilitating smooth multilingual interactions in a variety of linguistic environments. Moreover, Sarvam-M adopts a hybrid reasoning framework, enabling it to alternate between an in-depth “thinking” mode for intricate tasks such as mathematics, logic puzzles, and programming, and a rapid response mode for everyday inquiries, providing an effective balance between speed and performance. This versatility makes Sarvam-M an invaluable tool for users looking to engage with technology in an increasingly diverse linguistic landscape.
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Sarvam 105B
Sarvam-105B stands as the premier large language model within Sarvam’s open-source lineup, engineered to provide exceptional reasoning capabilities, multilingual comprehension, and agent-driven execution all within a unified and scalable framework. This Mixture-of-Experts (MoE) model boasts an impressive total of approximately 105 billion parameters, activating only a subset for each token, which allows it to maintain superior computational efficiency while excelling in intricate tasks. It is particularly optimized for advanced reasoning, programming, mathematical challenges, and agentic processes, positioning it well for scenarios that necessitate multi-step problem-solving and organized outputs rather than merely engaging in basic conversations. With the ability to process long contexts of around 128K tokens, Sarvam-105B can effectively manage extensive documents, prolonged discussions, and complex analytical inquiries, ensuring coherence throughout. Additionally, its design facilitates a diverse range of applications, providing users with versatile tools to tackle a variety of intellectual challenges.
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