Intelligent Agents. Built for Results.
Mid-Sized SaaS & Tech
For mid-sized SaaS companies and scaling tech teams, Deeta delivers AI agents, apps, and embedded builders that accelerate product velocity, automate internal workflows, and support feature launches. Whether you’re building internal copilots or launching AI-native features, we plug in where you need us — with the right tools and the right people.
CALL US: +1 (773) 759-8300
What We Build
Fast-moving teams. Production-grade AI.
SaaS teams don’t need proofs of concept — they need reliable AI that ships. We help you add LLM-powered functionality into your product, automate internal ops, and surface insights faster across your stack.
What we build:
- In-app copilots that explain dashboards, guide users, or complete multi-step actions
- Internal Slackbots that automate support, onboarding, and documentation queries
- RAG pipelines that let teams search internal content, support logs, or engineering docs
- Embedded engineers who build LangChain, LlamaIndex, or CrewAI pipelines alongside your team
- Analytics assistants that turn raw data into English summaries and product next steps
We’re here to help you move faster without breaking things — and give your team the AI tools they wish they had last quarter.
Process Analysis
Technical Automation
API Knowledge
Workflow-Tuned Agents
Here’s what we build for growing SaaS products, ops-heavy tech teams, and founder-led platforms:

In-App User Copilots
Let users ask natural language questions about their dashboard, usage history, or product features — with intelligent, scoped answers.

Slack Agents for Internal Support
Help employees get fast answers from policy docs, onboarding playbooks, or technical FAQs — right inside Slack.

RAG Knowledge Systems
Connect Notion, GDrive, and Confluence into a searchable AI layer that helps product, support, and sales teams find answers instantly.

Analytics Explainers
Turn dashboards into insights. Auto-summarize trends, detect anomalies, and suggest actions using LLM + metrics logic.

Embedded AI Engineers
Plug vetted LangChain, RAG, or agentic developers into your squad to help scope and ship AI-powered features — quickly and cleanly.
Frequently Asked Questions
Can Deeta help us build AI into our product, not just internal tools?
Absolutely. We specialize in LLM-native features that integrate directly into your SaaS platform — copilots, GPT overlays, RAG systems, and agentic workflows included.
Do you support teams without in-house AI expertise?
Yes. Many of our clients rely on us for both build and strategy — from proof of value to full deployment and ongoing iterations.
Can you help us choose the right AI architecture or tools?
We can. Whether you’re deciding between LangChain and CrewAI, or weighing vector DBs like Pinecone vs pg vector, we’ll guide your stack decisions based on use case, latency, and scale.
How fast can we add an embedded engineer to our team?
Typically within 3–5 business days. We vet every engineer for LLM stack fluency, delivery focus, and integration readiness.
Do you work with pre-Series A or early-stage startups?
We do and we know how to build lean. Whether you need a scoped MVP, fractional support, or help navigating AI infra, we’ll match your pace and stage.
Ready to Build and Ship AI-First Features?
We’ll scope your top priorities, match you with expert builders, and ship AI agents or features that your users and execs will notice.