# dyta.ai > Built AI-native. From the ground up. dyta.ai builds custom AI software, automation agents, and intelligent integrations for businesses ready to lead with AI — with 100% IP ownership. ## Overview - Type: AI-native software agency, consultancy, and development shop - Coverage: Global (remote-first, worldwide delivery) - Founded: 2026 - Team: Small, senior engineering team - Model Philosophy: Model-agnostic (OpenAI, Anthropic, Google, open-source) - IP Policy: 100% client code & IP ownership guaranteed ## Core Differentiators - AI-native by default: Every product we build ships with AI features baked in — RAG search, intelligent agents, smart automation. AI isn't an add-on, it's the architecture. - Model-agnostic: We're not locked to a single vendor. OpenAI, Claude, Gemini, open-source — we pick what works best for your use case and budget, then make it swappable. - Strategy to production: From feasibility assessment to deployed system, we handle the full lifecycle. No handoff gaps between 'the strategy people' and 'the build people.' - You own everything: All code, models, prompts, and documentation transfer to you. No vendor lock-in, no proprietary platforms, no ongoing dependency on us unless you want it. ## Service Categories & Offerings ### Data & Insights _AI systems that make your business data queryable, understandable, and actionable — from knowledge assistants to predictive analytics._ - RAG-Powered Knowledge Assistants [LAUNCH]: Internal knowledge bases and support bots trained on your own content. Every answer is grounded in source material with full citation traceability. - Natural-Language-to-SQL [LAUNCH]: A governed text-to-SQL layer that lets business users query production databases in natural language, safely and accurately. - AI-Powered Internal Dashboards/BI [LAUNCH]: Business intelligence dashboards enhanced with AI-generated insights, anomaly detection, and natural language summaries of your key metrics. - Predictive Analytics / Forecasting [LAUNCH]: Machine learning models for demand forecasting, churn prediction, price optimization, and predictive maintenance — trained on your historical data. ### Automation & Agents _AI agents and automation that handle repetitive tasks, process documents, and execute multi-step workflows — so your team focuses on what matters._ - AI Agent Automation [LAUNCH]: Multi-step workflow agents that handle data entry, reports, triage, email, and more — executing real actions across your tools with human-in-the-loop checkpoints. - AI Automation [LAUNCH]: Umbrella workflow automation that identifies and eliminates repetitive manual tasks across your operations using AI-powered decision making. - Document/Data Processing AI [LAUNCH]: AI-powered document processing for invoices, contracts, forms, and unstructured data — extracting structured information at scale with LLMs and OCR. - AI Voice Agents [LAUNCH]: AI-powered voice agents that handle phone bookings, customer support calls, and outbound follow-ups with natural conversation abilities. ### AI Integration _Retrofitting AI capabilities into your existing software — search, summarization, recommendations, and model orchestration without rebuilding._ - AI Integration Retrofits [LAUNCH]: Adding AI-powered search, summarization, recommendations, and content generation to your existing application — without rebuilding from scratch. - AI Middleware / API Orchestration [LAUNCH]: A middleware layer that integrates OpenAI, Anthropic, Google AI, and open-source models into your existing application stack with unified APIs and fallback routing. - Fine-Tuned/Custom ML Models [LAUNCH]: Custom-trained machine learning models for fraud detection, content recommendations, predictive maintenance, and other domain-specific applications. ### AI-Native Development _Full-stack software builds where AI is a core architectural decision — not an afterthought. Custom applications and MCP connectors built for the AI era._ - AI-Native Custom Software Builds [LAUNCH]: Complete web applications and software systems built AI-native from day one — with intelligent features, automation, and data-driven capabilities baked into the architecture. - Custom MCP Server Development [LAUNCH]: Purpose-built MCP (Model Context Protocol) servers that give AI models structured access to your internal systems, databases, and APIs — an early-mover, low-competition space. ### AI Strategy & Consulting _Feasibility studies, process audits, and implementation roadmaps that cut through the AI hype to find real opportunities in your business._ - AI Strategy / Opportunity Assessment [LAUNCH]: Feasibility studies, build-vs-buy analysis, and phased implementation roadmaps that tell you exactly where AI can drive value in your business — and where it can't. - AI Process Audits [LAUNCH]: Paid discovery engagements that audit your operations to identify where AI can reduce costs, speed up processes, or improve quality — with ROI estimates for each opportunity. - AI Training/Enablement [LAUNCH]: Workshops and hands-on training so your staff actually uses the AI tools built for them — because the best system is worthless if nobody adopts it. ### Quick-Start AI _Lightweight AI solutions you can deploy quickly — chatbots, LLM integrations, and content tools that deliver value in days, not months._ - Lightweight AI Chatbot Deployment [LAUNCH]: Quick-deploy AI chatbots for your website, WhatsApp, or Slack — simpler than full RAG, faster to launch, and great for FAQ handling and lead capture. - LLM API Integration Consulting [LAUNCH]: Expert guidance on selecting and integrating the right LLM — OpenAI vs. Claude vs. Gemini vs. open-source — for your specific use case, budget, and constraints. - AI Content/SEO Tooling [LAUNCH]: AI content generation and personalization tools for marketing sites — automated blog posts, product descriptions, SEO optimization, and content A/B testing. ## Pricing Tiers - Foundation: Starting at $2,500 (per engagement) — Quick wins, clear value. Fast-turnaround AI solutions for teams getting started. Lightweight chatbots, LLM integrations, strategy assessments, and training — delivered in days to weeks. - Core: Starting at $10,000 (per project) — Production AI, personally led. Our main delivery tier. RAG knowledge systems, AI agent automation, integration retrofits, and full AI-native software builds — led by senior engineers from start to finish. - Frontier: Starting at $25,000 (per engagement) — Premium, cutting-edge capabilities. Advanced AI capabilities at the leading edge. Custom MCP servers, voice agents, fine-tuned models, and predictive analytics — built in partnership with top AI platforms. ## Engagement Models - AI Strategy Assessment (1-2 weeks): Best when you know AI could help but aren't sure where to start. - Focused Build (4-12 weeks): Best for shipping a specific AI feature or product into production. - AI-Native Product Build (8-16 weeks): Best for building a new product or platform with AI at the core. - Ongoing Partnership (Monthly): Best when you need continuous AI development and support. ## How to Engage 1. Visit the contact page or email hello@dyta.ai 2. Describe your project, constraints, and goals 3. Receive a technical point of view (not a sales deck) within 48 hours 4. If there's a fit, we scope precisely before committing ## Quick Links - Homepage: https://dyta.ai/ - Services: https://dyta.ai/services/ - Pricing: https://dyta.ai/pricing/ - About: https://dyta.ai/about/ - Contact: https://dyta.ai/contact/ - Blog: https://dyta.ai/blog/ - Full LLM Knowledge Context: https://dyta.ai/llms-full.txt ## Contact - Email: hello@dyta.ai - Inquiry Form: https://dyta.ai/contact/ - GitHub: https://github.com/dyta --- Last updated: 2026-07-20