With generative AI automation on the rise, enterprises tend to assume any solution will work. But off-the-shelf AI solutions can be counterproductive. In Accounts Payable, they can misread AP line-item variances in multi-vendor invoices or in HR, they might overlook transferable skills. The right gen AI solutions ensure precision, significantly minimizing potential costly errors.
| Aspect | Generative AI Solutions Commonly Available in the Market | E42's Proprietary Generative AI Fine-Tuned for Enterprises | |
|---|---|---|---|
| | Customization and Adaptability | Limited fine-tuning, general-purpose model | Extensive customization for enterprise needs |
| | Data Privacy and Security | Cloud-based, data transmitted and stored externally | On-premises deployment enhances data security |
| | Low Latency and Real-Time | Latency is possible due to cloud operations | Local processing minimizes latency |
| | Integration with Systems | Limited adaptability to specific enterprise systems | Seamless integration with existing workflows |
| | Compliance and Governance | Challenges in adherence to industry regulations | Enhanced control over compliance on-premises |
| | Hallucination and Bias | May produce content lacking in accuracy or context, potential for bias | Customizable to mitigate biases and hallucination |
Our large language models are installed and operated within an organization’s local infrastructure making generative AI your enterprise‘s favorite ally, finely tuned to grasp your language and nuances, delivering precise and relevant solutions for unparalleled accuracy.
On-premises LLMs ensure fortified data security by keeping sensitive information within the organization’s infrastructure, reducing the risk of external breaches or unauthorized access. This localized approach enhances data protection and confidentiality.
Deploying LLMs on-premises allows organizations to tailor language models precisely to industry-specific language nuances and requirements. This customization ensures that the language model is finely tuned to the unique needs of the business, promoting more accurate and relevant outcomes.
By avoiding reliance on external servers, on-premises LLMs minimize exposure to external risks such as data transmission vulnerabilities or server outages. This localized deployment contributes to a more resilient and secure language processing environment.
On-premises LLMs provide greater control over data and model training, enabling organizations to implement rigorous bias mitigation strategies. This control helps reduce the potential for hallucinations and biases in the generated content, ensuring more accurate and unbiased language outputs.
Organizations benefit from enhanced control over their data, ensuring compliance with industry regulations and internal policies. On-premises deployment facilitates meticulous data control, allowing businesses to align with stringent compliance standards and regulatory requirements.
Local deployment of LLMs allows organizations to actively monitor and manage the health of their AI models. With real-time insights into model performance and behavior, businesses can proactively address issues, optimize algorithms, and ensure the sustained well-being of their language models.
There’s a difference between settling for generic, one-size-fits-all solutions and embracing the power of bespoke, precision-engineered systems. On-premises Large Language Models (LLMs) embody this mastery, offering a level of customization and adaptability that sets them apart.
AI co-workers built on E42 are the digital collaborators who excel in handling routine and time-consuming activities, liberating human counterparts to focus on critical thinking and creativity. From document processing to customer service and beyond, E42’s generative AI coupled with CPA enhances efficiency and fosters a collaborative work environment.
This was just one vertical, envision an AI co-worker tailored to your enterprise needs, seamlessly integrating into your business processes and enhancing productivity across diverse verticals.
Outperforms Llama 2 13B on all benchmarks
Outperforms Llama 1 34B on many benchmarks
Approaches CodeLlama 7B performance on code, while remaining good at English tasks
Uses Grouped-Query Attention (GQA) for faster inference
Uses Sliding Window Attention (SWA) to handle longer sequences at a smaller cost
In the realm of generative AI, E42 has been an early adopter and ardent practitioner of innovative strategies such as LORA and Quantization techniques to address crucial aspects of model efficiency, environmental impact, and cost-effectiveness:
E42 employs LORA (Low-Rank Approximation) and Quantization techniques to significantly reduce the model size and energy footprint during training. This not only enhances computational efficiency but also aligns with sustainable practices, promoting greener AI.
E42 strategically utilizes less expensive GPUs, optimizing the cost associated with model training without compromising performance. This approach ensures economic viability for clients while maintaining computational efficiency.
E42’s approach stands out in sustainability; instead of building LLMs from scratch, it leverages preexisting models available in the market. This not only saves GPU power but also contributes to economic viability. By reusing established models, E42 ensures that its generative AI solutions are both environmentally conscious and economically sustainable.
Gen AI solutions built on E42 are meant for enterprises looking to automate intelligently. Unlike generic AI models, our generative AI model is tailored to industry-specific needs, ensuring accuracy in Accounts Payable automation, HR analytics, and financial reporting—while strictly adhering to global compliance standards.
With built-in support for GDPR, SOC 2, and other regulatory frameworks, our generative AI models are built for your business. This ensures that your enterprise enjoys industry-leading data privacy, security, and audit readiness. Whether deployed on-premises or in the cloud, E42’s AI-driven automation seamlessly integrates with enterprise ecosystems, streamlining vendor negotiations, automating workforce planning, optimizing contract management, and more—all while minimizing risk and maximizing efficiency.
E42’s generative AI enabled automation empowers enterprises to accelerate workflows, cut costs, and enhance decision-making while maintaining compliance with industry regulations. For document-heavy sectors like BFSI, healthcare, and legal, our generative AI for business ensures precision, security, and efficiency at scale.
From loan approvals in BFSI to contract analysis in legal firms, generative AI for document processing eliminates manual effort, ensuring accuracy, faster turnaround times, and compliance with frameworks like GDPR and SOC 2
Leverage our gen AI-powered analytics to optimize fraud detection in finance, automate underwriting, and improve claims processing—transforming decision-making with real-time intelligence
With generative AI, digital transformation becomes effortless. Enterprises can streamline document-heavy workflows, enhance regulatory reporting, and achieve measurable cost savings—delivering faster ROI from day one.
E42 provides enterprise-grade generative AI solutions tailored to diverse business needs. Our generative AI models built for businesses such as yours, span multiple services, ensuring efficiency, security, and compliance:
Leverage AI-driven insights to forecast trends and optimize decision-making in BFSI, healthcare, and HR
Enable seamless customer support and employee self-service
Generate compliance-ready reports with AI-driven accuracy
Streamline operations in finance, HR, procurement, and more
Ensure legal compliance with AI-powered contract reviews
Create tailored, industry-specific documents and communications at scale
Ready to unlock the power of generative AI for your enterprise? Let’s explore limitless possibilities together!
Generative AI for business enables enterprises to automate complex cognitive tasks, from predictive analytics to content generation. It enhances efficiency, reduces human error, and ensures compliance in data-heavy operations
Generative AI automation streamlines workflows by eliminating redundant manual processes, optimizing decision-making with real-time insights, and ensuring scalability without proportional resource expansion.
BFSI, healthcare, and legal sectors leverage gen AI solutions for risk assessment, compliance automation, and contract intelligence, reducing processing times while maintaining regulatory integrity.
Generative AI solutions require data training, fine-tuning for domain specificity, and secure deployment. Seamless API integrations ensure minimal disruption while enhancing operational intelligence.
Enterprises use gen AI for autonomous document processing, fraud detection, intelligent virtual assistants, and workflow automation—transforming unstructured data into actionable intelligence.
Yes, generative AI automation solutions integrate with ERP, CRM, and legacy infrastructure via API-driven deployments, ensuring minimal downtime and maximum interoperability across ecosystems.
Timelines depend on complexity, but generative AI platforms with pre-trained models expedite implementation, reducing deployment time from months to days while ensuring adaptability.
Generative AI for digital transformation reduces operational bottlenecks, enhances data processing speed, and ensures regulatory compliance—driving intelligent automation at scale.
By leveraging generative AI use cases, businesses automate cognitive tasks, accelerate document processing, and provide real-time decision support, reducing human dependency in critical workflows.
Data security, compliance, and model accuracy are critical. Selecting gen AI solutions tailored to industry-specific challenges ensures sustainable automation with measurable ROI.
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The E42 model significantly outperforms Llama 2 13B on all metrics and is on par with Llama 34B. It is also vastly superior in code and reasoning benchmarks.
An interesting metric to compare how models fare in the cost/performance plane is to compute “equivalent model sizes”. On reasoning, comprehension, and STEM reasoning (MMLU), the E42 model performs equivalently to a Llama 2 model that would be more than 3 times its size. This results in significant savings in memory and gains in throughput.
Refunds/Cancellations
We are offering free access to the platform for a month. Once the free period is over you need to pay the license fee to retain access to the platform. License fee will not be refunded.
If you have any questions about our Refund Policy, please email us at interact@e42.ai
At E42, creating a safe and healthy working environment takes precedence above all. The company has zero tolerance for prejudice, gender bias, and sexual harassment. For a comprehensive overview of our safety policy, please feel free to contact us at interact@e42.ai
