Build AI That
Thinks Beyond Limits

LiteCompute AI is a cutting-edge AI services agency specializing in enterprise AI solutions. We offer services including Computer Use & Browser Automation, Multi-Agent Orchestration, AI Workflow Automation, On-Device AI deployment, Custom LLM training with Unsloth, and integration with 500+ business tools. We help businesses automate complex processes and achieve unprecedented efficiency through AI.

We focus on bleeding-edge 2025 AI technologies like Claude's Computer Use API, multi-agent systems, and on-device AI deployment. Our team combines deep technical expertise with business acumen, offering not just AI development but strategic AI transformation. We also specialize in Model Context Protocol (MCP) integration and fast LLM training with Unsloth, technologies most agencies haven't adopted yet.

We serve all major industries including Finance & Banking, Healthcare, E-commerce, Manufacturing, Education, Legal Services, Government, and more. Our AI solutions are customized to meet the unique regulatory requirements and business challenges of each industry. We have successfully deployed solutions across 12+ industries with proven ROI.

We work with businesses of all sizes - from innovative startups to Fortune 500 companies. For startups, we offer lean AI solutions that scale with your growth. For enterprises, we provide robust, compliant AI systems that integrate with existing infrastructure. Our flexible engagement models ensure the right fit for your budget and requirements.

Computer Use AI, pioneered by Claude, allows AI to visually interact with computers just like humans do - clicking buttons, filling forms, and navigating applications. This revolutionary technology can automate any task you perform on a computer, from data entry to complex multi-step workflows across different applications. It's particularly powerful for automating legacy systems without APIs.

MCP is Anthropic's open standard for connecting AI assistants to data sources and tools. It provides a universal protocol for AI integration, making it easier to connect AI to your databases, APIs, and business tools. This means faster implementation, better security, and more reliable AI systems that can access and act on your business data in real-time.

Multi-agent systems consist of specialized AI agents that work together to solve complex problems. Each agent has specific expertise (e.g., research, analysis, execution) and they collaborate through frameworks like CrewAI or AutoGen. This approach allows us to tackle complex business processes that require different types of intelligence, resulting in more accurate and efficient solutions than single-model approaches.

Unsloth is an advanced framework that makes LLM fine-tuning 2-5x faster while using 70% less memory. This means we can train custom AI models for your specific use cases more quickly and cost-effectively. Whether you need a specialized customer service bot or a domain-specific AI assistant, Unsloth allows us to deliver custom models in days instead of weeks.

Yes! We specialize in on-device and edge AI deployment using technologies like CoreML, ONNX, and TensorFlow Lite. This means your AI can run directly on phones, IoT devices, or local servers without internet connectivity. This approach ensures data privacy, reduces latency, and eliminates cloud costs while maintaining high performance.

Implementation timelines vary based on complexity. Simple automation solutions can be deployed in 2-4 weeks. Medium complexity projects (like multi-agent systems) typically take 2-3 months. Enterprise-wide AI transformation projects are usually phased over 6-12 months. We always start with a proof of concept that delivers value within 30 days.

No, our AI solutions are designed to integrate seamlessly with your existing infrastructure. We support integration with 500+ popular business tools and can work with legacy systems through APIs, RPAs, or Computer Use AI. Our approach is to enhance, not replace, your current systems while minimizing disruption to your operations.

The data requirements depend on your specific use case. For most projects, we work with your existing data - documents, databases, APIs, or application interfaces. We follow strict data privacy protocols and can work with anonymized or synthetic data during development. Our team will conduct a data assessment to determine exact requirements during the discovery phase.

Security is our top priority. We implement end-to-end encryption, follow SOC 2 and ISO 27001 standards, and can deploy solutions that keep your data on-premise. For sensitive industries, we offer private cloud deployments and air-gapped solutions. All our solutions are GDPR compliant and we sign comprehensive NDAs and data processing agreements.

We offer flexible pricing models to suit different needs: Fixed-price projects for well-defined scopes, Time & Materials for exploratory projects, and Subscription models for ongoing AI services. We also offer performance-based pricing where you pay based on achieved results. All projects start with a free consultation to determine the best approach and provide a detailed quote.

We provide comprehensive post-implementation support including 24/7 monitoring for critical systems, regular model updates and retraining, performance optimization, and dedicated support channels. Our support packages range from basic maintenance to full managed services where we handle all aspects of your AI operations. We also provide training for your team to manage the systems independently.

Our clients typically see ROI within 3-6 months. Average improvements include: 60-80% reduction in processing time, 40-70% cost savings on automated tasks, 90%+ accuracy in automated decisions, and 3-5x increase in operational capacity. We provide detailed ROI projections during consultation and track actual performance against these metrics.

Yes, we offer paid proof of concepts (POCs) that demonstrate value within 30 days. These POCs are designed to solve a specific business problem and provide measurable results. The POC fee is credited towards the full project if you proceed. This approach ensures you see real value before making a larger commitment.