AI & Data Intelligence
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We design AI-native systems that are safe, explainable, and enterprise-ready. From agentic copilots and private LLMs with RAG to fine-tuned models and MLOps, we build intelligence into the heart of your workflows. The result is faster decisions, lower cost to serve.
Agentic AI & enterprise copilots
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We design AI-native systems that are safe, explainable, and enterprise-ready. From agentic copilots and private LLMs with RAG to fine-tuned models and MLOps, we build intelligence into the heart of your workflows. The result is faster decisions, lower cost to serve.
Design and implement domain-specific AI agents for operations, support, sales, and internal teams.
Orchestrate multi-step workflows that call tools, trigger APIs, and update systems automatically.
Embed context-aware copilots inside existing apps (CRM, ticketing, internal portals) for in-the-flow assistance.
Configure guardrails, escalation paths, and logging so every action is explainable and reversible.
TECHNOLOGIES - We work across GenAI, cloud, ML, mobile, IoT, and blockchain to support end-to-end product development.
Domain-specific LLMs and RAG pipelines
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We build retrieval-augmented generation (RAG) pipelines and domain-tuned LLM experiences that speak your language and respect your constraints. Instead of generic answers, models pull from the right internal knowledge—documents, tickets, logs, contracts—while staying grounded and verifiable.
Model your knowledge sources and domains for RAG: documents, tickets, emails, logs, and wikis.
Build hybrid retrieval pipelines combining vector search, keyword filters, and metadata-based ranking.
Optimize chunking, context windows, and prompts to reduce hallucinations and improve answer quality.
Continuously measure and improve relevance using feedback loops, test queries, and human review.
TECHNOLOGIES - We work across GenAI, cloud, ML, mobile, IoT, and blockchain to support end-to-end product development.
If you’re exploring AI & Data intelligence as a core lever for growth, THE 8800 can embed a senior pod (Product Oriented Delivery Team) as your AI-native product partner.
Model fine-tuning, evaluation, and observability
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We fine-tune and evaluate models against your real-world tasks, tone, and policies—then keep them observable in production. You get models that perform well on your data, with evaluation frameworks that make quality and drift visible over time.
Curate training and evaluation datasets from your historical data and edge cases.
Fine-tune or instruction-tune models to your domain vocabulary, brand tone, and workflows.
Define quantitative and qualitative evaluation suites to benchmark performance before and after changes.
Implement dashboards and alerts for latency, quality, drift, and usage across environments.
TECHNOLOGIES - We work across GenAI, cloud, ML, mobile, IoT, and blockchain to support end-to-end product development.
MLOps, Safety & Governance
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We set up the pipelines, controls, and policies that make AI production-ready at enterprise scale.
From automated deployments and rollbacks to access control and audit trails, we ensure AI systems are governed like any other mission-critical service.
Build end-to-end MLOps pipelines for training, testing, deploying, and rolling back models.
Manage model registries, feature stores, and environments across dev, staging, and production.
Enforce security, privacy, and access policies around data, prompts, and outputs.
Establish governance processes and audit trails so compliance and risk teams have full visibility.
TECHNOLOGIES - We work across GenAI, cloud, ML, mobile, IoT, and blockchain to support end-to-end product development.
