Service group
AI and automation
AI assistants and automations that capture leads, answer routine questions, process documents, update tools, route tasks, and keep humans in control.
Conversational AI, workflow automation, document intelligence, lead follow-up, and internal copilots delivered as practical business systems.
Services in this category
Specific services you can scope from this category
Start with a package or pick a precise service. Every item links into the master catalog or a deeper service page where available.
LLM Integration (OpenAI / Anthropic / Gemini)
LLM Integration (OpenAI / Anthropic / Gemini) is designed for product teams that want to add ai features to their application using gpt-4, claude, or gemini apis. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceRAG System Development
RAG System Development is designed for companies that need ai answers grounded in their own documents, knowledge bases, or internal data. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceAI-powered Document Intelligence
AI-powered Document Intelligence is designed for companies processing contracts, invoices, forms, or reports at volume and extracting structured data automatically. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceIntelligent Search Implementation
Intelligent Search Implementation is designed for products with keyword search that need semantic understanding - finding the right result even with imperfect queries. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceAI Knowledge Base and Internal Copilot
AI Knowledge Base and Internal Copilot is designed for teams that want an ai assistant trained on their sops, policies, product docs, or internal knowledge. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceLLM Fine-tuning Pipeline
LLM Fine-tuning Pipeline is designed for companies with enough proprietary data to improve model behavior beyond what prompt engineering can achieve. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View servicePrompt Engineering and Optimization
Prompt Engineering and Optimization is designed for teams with llm integrations that produce inconsistent outputs and need structured prompt systems. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceMulti-agent AI System Development
Multi-agent AI System Development is designed for companies that need ai systems where multiple specialized agents collaborate on complex multi-step tasks. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceLLM Evaluation Framework
LLM Evaluation Framework is designed for engineering teams that need systematic testing and regression checks for ai output quality over time. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceAI Guardrails and Safety Systems
AI Guardrails and Safety Systems is designed for companies deploying customer-facing ai that need content filtering, jailbreak protection, and audit trails. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceLLM Cost Optimization
LLM Cost Optimization is designed for teams spending more than expected on api calls who need caching, prompt compression, and model routing. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceAI-powered Data Extraction
AI-powered Data Extraction is designed for companies manually re-typing data from pdfs, scanned documents, emails, or structured forms into systems. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceConversational AI on Business Data
Conversational AI on Business Data is designed for teams that want a chat interface over their warehouse, crm, or internal tools instead of dashboard hunting. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceLLM-powered Report Generation
LLM-powered Report Generation is designed for companies whose analysts spend hours writing the same narrative around the same numbers every week. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceML Pipeline Setup (end-to-end)
ML Pipeline Setup (end-to-end) is designed for teams with trained models that need a production pipeline from data ingestion to prediction serving. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceModel Deployment and Serving
Model Deployment and Serving is designed for data scientists with working models who need them exposed as apis or embedded into product systems. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceModel Registry Setup
Model Registry Setup is designed for teams managing multiple model versions who need staging, approval, and production promotion workflows. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceCI/CD for ML Models
CI/CD for ML Models is designed for engineering-led ml teams that need automated testing, validation, and deployment pipelines for models. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceCategory depth
AI systems and automations covered here
This category combines customer-facing AI, internal AI assistants, and workflow automation because they usually work best as one operating layer. The goal is not to add a chatbot for show; the goal is to capture work, route it, document it, and make sure the right human can take over at the right point.
DataDost AI can build small targeted automations or full AI-enabled workflows for teams that need speed, operational discipline, and cleaner follow-up across website forms, WhatsApp, email, CRM, documents, reports, and support queues.
- Conversational AI, website chatbots, WhatsApp automation, voice agents, and AI receptionists
- AI sales assistants, AI support agents, internal copilots, and private knowledge assistants
- Document AI, OCR, extraction, validation, approval queues, and searchable document workflows
- CRM automation, email automation, lead follow-up, report automation, task routing, and ticket creation
Use cases
Where businesses use it
A business can start with a single assistant or workflow, then extend it into a larger system. Common starting points include missed lead follow-up, repetitive support, quote requests, appointment intake, invoice or document handling, owner reports, approval bottlenecks, and status updates that staff currently chase manually.
Every implementation includes guardrails: allowed knowledge, escalation rules, consent-aware capture, logs, secure form handling, and a handover path so the automation improves operations instead of becoming another unmanaged tool.
- Lead intake and qualification across website, WhatsApp, calls, and email
- Appointment booking, reminders, status updates, and customer support triage
- Document-heavy work such as invoices, IDs, applications, contracts, claims, forms, and approvals
- Internal staff copilots for SOPs, policies, sales enablement, reporting, research, and operations