The LLM Stack For ENTERPRISES

Transform Your Business with Private Generative AI Solutions

Unlock innovation securely—train and deploy AI systems
tailored to your enterprise on-prem or across the cloud.

Data Integrity

Leverage our expertise with Healthcare, Federal, and Deep Science enterprises to deploy Generative AI securely, protecting proprietary data, intellectual property, and sensitive workflows at every stage of the lifecycle.

IP Ownership

Ensure full ownership of your datasets, fine-tuned models, and integrations, empowering sustainable success and scalability for your Generative AI initiatives without compromising control or interoperability.

Compliance

Integrate seamlessly with complex compliance protocols. We deliver auditability, accountability, and regulatory alignment, ensuring Generative AI deployments meet stringent industry standards across diverse sectors.

Cost Rationalization

Optimize performance while reducing costs with AI workflows designed for efficiency at scale. Our expertise ensures application, workflow, and GPU optimization, enabling seamless scaling, parallel processing, and inference improvements—maximizing cost-effectiveness for enterprise AI deployments.

Robust Safeguards

Protect data and users with tailored safeguards against PII leaks, prompt injections, and misuse. Leverage deep observability, custom reporting, and role-based access control to ensure secure Generative AI usage while granting teams precise access to critical information.

Production Ready

Accelerate from experimentation to production in weeks. Deploy scalable, enterprise-grade Generative AI applications designed to handle complex workloads and seamlessly grow with your business needs.

Last Mile Integration

Seamlessly integrate AI solutions into existing workflows, including communication platforms, CRMs, and ticketing tools, ensuring smooth operations and minimal disruption across your enterprise systems.

Blueprints

Leverage proven, industry-tested blueprints designed with leading enterprises. These customizable frameworks enable rapid deployment of scalable, tailored Generative AI solutions that drive measurable results.

PLATFORM MODULES

Scoping

Develop a tailored Generative AI implementation framework based on a detailed analysis of requirements for each enterprise use case.

Comprehensive Data Evaluation

Assess enterprise data sources, formats, and synthetic data needs to design efficient pipelines for seamless data processing.

Application Interface Mapping

Define interfaces and APIs required for integration with internal systems, consumer-facing platforms, or new applications supporting the use case.

Persona Identification

Identify human and AI personas, including domain experts and AI agents, to streamline workflows and achieve specific business outcomes.

Regulatory Requirements Analysis

Analyze data access controls, industry-specific regulations (e.g., HIPAA), and audit requirements to ensure compliance throughout development and deployment.

Infrastructure Assessment

Estimate compute, model, and optimization requirements for development and production to ensure scalability and cost-effectiveness.

Developing Data Connectors

Create connectors to systematically extract data from structured and unstructured sources like databases, CRMs, ERPs, and social platforms.

Custom Data Cleanup Pipelines

Ensure data viability with tailored pipelines for handling diverse formats, including HTML, PDFs, images, tables, and more.

Advanced Data Transformation

Experiment with chunking strategies, embedding models, and Retrieval-Augmented Generation methods to optimize data for AI applications.

Contextual Metadata Mapping

Extract and map metadata to enable robust contextual understanding and relevance across datasets.

Designing Dynamic Data Pipelines

Track every step of the pipeline with tracing and lineage for datasets and query.

Data Prep & Transformation

Design a data framework to extract, clean, and transform enterprise data for seamless integration with Generative AI applications.

AI System Development

Develop a fully functional AI system with query pipelines, prompts, fine-tuning engines, evaluation benchmarks, and application interfaces tailored to enterprise use cases.

Precision Query Pipelines

Build pipelines that ensure accurate responses with query rewriting, caching, reranking, and response synthesis for optimal results.

Persona-Based Prompt Development

Create prompts for each pipeline stage to maintain groundedness, reduce hallucinations, and deliver crisp, use-case-aligned responses.

Advance Fine-Tuning Engine

Leverage ground truth, negative samples, and synthetic data to fine-tune embedding models and response synthesizers effectively.

Rigorous Evaluation Framework

Implement evaluation suites with custom benchmarks to assess model accuracy, relevance, and contextual understanding.

Seamless Application Integrations

Design API interfaces to support enterprise-specific deployments, integrating AI capabilities into internal and external applications effortlessly.

Advanced Authentication Mechanisms

Integrate RBAC, CBAC, and multi-level authentication for secure management and controlled access to AI systems and end-user applications.

Performance Optimization

Enhance system performance with efficient memory management, batch processing, low latency, and a user-centric experience.

Scalable Resource Management

Implement dynamic scaling strategies—up, out, or down—to balance high availability with efficient resource utilization.

Comprehensive Reporting Dashboards

Gain full visibility with custom metrics and dashboards to monitor application performance, model accuracy, and user interactions.

Security Policy Enforcement

Apply custom rules to redact or block sensitive, abusive, or PII content, ensuring compliance across input, synthesis, and output phases.

Deployment

Deploy AI systems with high availability, scalability, and custom dashboards while ensuring robust security policies for enterprise-grade performance.

Monitoring

Integrate custom alerts and recommendations to monitor infrastructure, security, and AI pipeline accuracy for sustained performance.

Infrastructure Optimisation Alerts

Set thresholds and alerts for storage, network, and compute resources to optimize budget and ensure resource availability.

Drift Tracking

Monitor AI system accuracy and coherence over time, maintaining relevance aligned with personas, data, and prompts.

Conversation Insights

Analyze user patterns with Q&A clustering, cache metrics, and feedback to enhance core application effectiveness and user experience.

Comprehensive Security Metrics

Track security indicators globally and at the response level, including toxicity, jailbreak attempts, sentiment, PII exposure, and potential data leaks.

Data Refresh Pipelines

Automate data refresh cycles and evaluation suite runs to ensure performance benchmarks and data currency are consistently maintained.

RLHF Data Integration

Capture context-rich RLHF data to refine and fine-tune models for improved accuracy and relevance in future iterations.

LIFE SCIENCES

Streamlining data retrieval, curation, and synthesis for life sciences, enabling faster, accurate, and actionable insights with secure AI workflows.

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MORTGAGE

Accelerating document processing with secure, on-prem AI solutions, reducing manual intervention, errors, and turnaround times for mortgage loan workflows.

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INSURANCE

Empowering CSRs with real-time, state-specific insights through secure, scalable AI solutions, reducing escalations and enhancing customer satisfaction.

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FAQ