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Enterprise AI Architecture
The real power of enterprise AI lies in effectively applying foundation models to address unique business challenges. fundae's platform ensures your enterprise data integrates seamlessly into these models, eliminating data bottlenecks and enabling transformative insights, optimized operations, and long-term strategic growth.
Fine Tuning Foundation Models
Our team builds AI‑readable metadata into agents so foundation models align with your data, policies, and KPIs. Agents improve continuously through policy‑aligned human feedback loops and rubric‑based reviews, extracting information in seconds to minutes.
Using Foundation Models
Agents run on Open AI, Anthropic, Google, and Meta models with policy controls, tool access, and staged evaluations to return production‑ready answers in seconds to minutes.
Enterprise Integration
We unify ERP, CRM, contracts, data lakes, documents, and feeds into a single queryable fabric for agents and models, delivering repeatable, auditable outputs in seconds to minutes.
fundae employs Fine-Tuning and Reinforcement Learning from Human Feedback (RLHF) to train AI agents that work seamlessly with foundation models. These agents are customized to align with your enterprise data and business priorities, refining their performance based on real-world feedback. By enhancing agents to address specific tasks and challenges, fundae ensures reliable, accurate, and consistent outcomes that adapt to your goals and deliver measurable value.
fundae integrates with advanced AI platforms like OpenAI, Anthropic, Google, and Meta, deploying trained agents to maximize the capabilities of foundation models. These agents are fine-tuned to meet your organization’s unique requirements, providing tailored solutions for specific tasks. By combining foundation models with intelligent agents, fundae delivers precision, scalability, and actionable insights, empowering your business to achieve impactful results.
fundae connects your enterprise data with AI agents and foundation models to create a reliable, accessible framework for operational success. These agents are trained to utilize integrated data for tasks like financial forecasting, operational analysis, and performance tracking. By ensuring data consistency and accuracy across systems, fundae helps your organization make informed decisions and maintain operational momentum. This approach turns fragmented data into a unified asset that supports your team’s objectives and delivers measurable outcomes.
Build AI
Looking for AI enablement that starts with your data? fundae's Data Engine prepares enterprise data for LLMs with quality controls, unified access, and AI Readable Metadata. We catalog sources, map entities, and add context so models can find, understand, and use your data. Built for RAG, governance, and compliance with versioned datasets, permissions, and lineage.
Agentic AI
Need AI agents that work like a digital team? fundae designs and runs agentic systems that pair LLM planning with tools and data. Each agent handles a clear role such as research, data extraction, quality check, or reporting, then collaborates under guardrails and human review. Expect faster delivery, higher accuracy, and consistent performance across tasks.
Apply AI
Deploy ready-to-use applications powered by custom LLMs. Choose modules for knowledge retrieval, support copilots, content generation, and analytics QA that plug into your stack through secure APIs and connectors. We tailor prompts, evaluation, and guardrails to your domain so teams achieve clear gains in quality, speed, and consistency.
Integrations
Service AI
Looking for AI enablement across your organization? fundae connects practical AI to clear business outcomes with Service AI. We plan, integrate, and operationalize AI from pilot to scale, refining models, expanding use cases, and streamlining execution. Aligned to your goals and KPIs, we turn AI potential into measurable results and lasting value.
Human AI
Want AI Models that are accurate, safe, and useful in your domain? Human AI applies Reinforcement Learning from Human Feedback to teach models how to respond better. Experts and users review answers, correct gaps, and the system learns for next time. With RLHF, SFT, prompt and policy optimization, and rigorous evaluation, your AI becomes clearer, more trustworthy, and continuously improved to deliver maximum value.
Service AI
Service AI connects AI capabilities with tangible business outcomes. With expert support and tailored solutions, fundae ensures your AI initiatives are implemented to achieve measurable results. From integration to execution, Service AI simplifies every step, helping you refine models, expand their application, and achieve impactful results. By aligning AI with your specific goals, Service AI turns possibilities into meaningful progress and lasting value.
Human AI
Human AI makes your artificial intelligence smarter and more helpful by learning directly from people. Through a process called Reinforcement Learning from Human Feedback (RLHF), humans teach the AI how to respond better by giving feedback on its answers. For example, if the AI gives an unclear response, a person can correct it, and the AI remembers that for next time.
This process works like training a helpful assistant—real people guide the AI to improve, making sure it understands what you need and delivers accurate, trustworthy results. It’s how we ensure AI not only works for you but gets better at doing exactly what you want over time.