01
SMBs going AI-first
You know AI should be in your product or operations, but you don't have an in-house AI team. We become your AI engineering arm.
Discovery Sprint → Build Partnership
/indexAI-NATIVE WEB & SOFTWARE SOLUTIONSdyta.ai
2 project slots open for Q3
// MOST AGENCIES BOLTED AI ON. WE DIDN'T.
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.
// ARCHITECTURE_TRANSFORMATIONLIVE
[Data Layer]Siloed
Manual SQL queries, fragmented spreadsheets, slow keyword search.
[Workflows]Manual
Humans doing repetitive copy-paste and manual data entry.
[Intelligence]Bolt-on Demo
Generic ChatGPT wrapper slapped onto legacy code.
[RAG Knowledge Base]Instant
Hybrid vector + keyword search over your proprietary data.
[Autonomous Agents]24/7 Exec
Multi-step task automation & tool calling via custom MCP servers.
[Full IP Handoff]100% Owned
All code, prompts, models, and docs transferred directly to you.
Result: 10x Velocity + Zero Vendor Lock-inExplore →
01Why Dyta
What makes us different from every other "AI agency."
We're not a generic digital agency that added "AI" to the pitch deck. Every service, every build, every team member is oriented around AI-native delivery.
D.01core/*
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.
D.02models/*
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.
D.03end_to_end
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.'
D.04ownership
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.
02Who We Work With
Built for teams that want AI as a capability, not a buzzword.
02
Mid-market scaling AI
You've done a proof of concept or two. Now you need production-grade systems that scale, with proper evaluation and monitoring.
AI Strategy Assessment → Custom Build
03
Teams with existing software
Your product works — it just needs to be smarter. AI search, recommendations, automation, or agent features added to your existing stack.
AI Integration Retrofit
03Proof Point
Case Study 01: Production AI in action.
A look inside one of our flagship builds — built with the exact stack and methodology we bring to clients.
FEATURED BUILD|Internal Platform // Dyta Engine
STATUS: DEPLOYED / PRODUCTION
Enterprise Knowledge & RAG Assistant Platform
// The Problem
500+ unorganized technical documents and internal manuals causing high latency in engineering onboarding and customer support responses.
// The Solution
Built a custom, model-agnostic RAG engine featuring hybrid vector/keyword search, role-based access controls, and automated document ingestion pipelines.
TECH STACK:
AstroPythonFastAPIQdrantVercel AI SDK
// Measurable Outcomes
Query latency< 400ms
Sub-second response
Search efficiency+85%
Faster document retrieval
Data privacy100%
Zero 3rd-party model training
04How We Work
A clear path from problem to production.
Every engagement follows the same disciplined process. No black boxes — each stage produces a concrete, tangible deliverable.
P.01assess()
Discover
Understand your problem, data, constraints, and goals. Map the opportunity landscape.
Deliverable:Opportunity Map + AI-Readiness Score
P.02blueprint
Design
Architecture, AI strategy, and solution blueprint. Clear specs before any code is written.
Deliverable:Technical Spec + Prototype Scope
P.03ship.iter()
Build
AI-native development with continuous demos, evaluation, and feedback loops.
Deliverable:Production Code + Eval Suite
P.04deploy/v1
Launch
Production deployment, documentation, team handoff — and optional ongoing support.
Deliverable:Deployed System + 100% IP Handoff
05Service Directory
Explore the capability tree.
~/dyta.ai/services
06The Stack
Model-agnostic by design, production-grade by default.
We are not tied to a single vendor. Every layer is chosen on merit and matched to your specific requirements — then wrapped in testing so nothing ships blind.
L.01models/*
AI Models & LLMs
- GPT-4o / GPT-4.1
- Claude (Anthropic)
- Gemini (Google)
- DeepSeek
- Llama / Mistral
- Fine-tuned models
L.02runtime/*
Frameworks & Tooling
- LangChain / LangGraph
- Vercel AI SDK
- MCP Protocol
- LlamaIndex
- Semantic Kernel
- pgvector
L.03app/*
Application Stack
- ASP.NET Core
- Next.js / React
- Astro
- Node.js
- Postgres
- Redis
L.04deploy/*
Delivery & Ops
- Azure / AWS
- Docker
- GitHub Actions
- Vercel
- Monitoring
- CI/CD pipelines
07Trust & Quality
AI done right means AI you can trust.
We build AI systems the way serious engineering should work — measurable, documented, and fully yours when the project ends.
Our commitments
Full IP TransferSource Code HandoffDocumented ArchitectureEvaluation Suites
You own everything
All source code, model artifacts, prompts, and documentation transfer to your organization. No lock-in, no proprietary dependencies.
Evaluation & guardrails
Every AI system ships with evaluation suites, PII filters, and quality checks. We measure performance with real data, not vibes.
Transparent process
No black boxes. You see the architecture, the evaluation results, and the decision rationale at every stage. Full documentation on handoff.
$ ./get_started
Ready to make your product AI-native?
Tell us what you're building and where AI could make the biggest difference. We'll respond with a technical point of view — not a sales deck.
🔒 You own 100% of all code, prompts, models, and architecture. Zero vendor lock-in.