AI Solutions Deployed
Avg Reduction in Manual Task Time
To a Working AI Prototype
Solutions With Human-in-the-Loop Controls
Generative & Agentic AI Solutions
From copilots to fully autonomous agents, we build AI systems that are useful on day one and trustworthy on day one hundred.
LLM-Powered Applications
Chat assistants, document generators, and summarization tools built on leading foundation models.
RAG & Knowledge Systems
Retrieval-augmented generation over your documents, databases, and tickets for accurate, cited answers.
Autonomous AI Agents
Multi-step agents that plan, call tools, and complete tasks like lead qualification or report generation.
Workflow Automation
AI woven into CRM, ERP, and support flows to route, draft, classify, and act with approvals where needed.
AI Content Generation
Listing descriptions, marketing copy, proposals, and reports generated in your brand voice at scale.
Evaluation & Guardrails
Test suites, safety filters, cost controls, and monitoring that keep AI behavior reliable in production.
AI Pitfalls
We Avoid
Most AI projects stall between an impressive demo and a dependable product. Our engineering practice is built to close that gap.
Hallucinations
Grounding responses in retrieved sources, citations, and confidence thresholds keeps answers accurate.
Data Privacy
Private deployments, redaction, and strict data handling ensure sensitive information never leaks to models.
Unpredictable Costs
Model routing, caching, and token budgets keep inference spend proportional to value.
Agents Running Wild
Scoped tools, approval gates, and audit logs mean agents act only within boundaries you define.
No Way to Measure Quality
Evaluation datasets and automated scoring show you exactly how the system performs before and after changes.
How We Deliver AI Solutions
A pragmatic path from use-case selection to a monitored production system.
Use-Case Discovery
Identify high-value, low-risk workflows; define success metrics, data sources, and guardrails.
Use-Case Discovery
Identify high-value, low-risk workflows; define success metrics, data sources, and guardrails.
Data & Model Strategy
Assess data readiness, select models and hosting, and design the retrieval and prompt architecture.
Rapid Prototype
A working prototype on real data, evaluated against a test set with your domain experts.
Productionize
Integrate with your systems, add auth, logging, cost controls, and human-in-the-loop review.
Monitor & Improve
Track quality, usage, and spend; iterate prompts, retrieval, and tools based on real feedback.
AI Stack We Build On
Foundation Models
Agent & Orchestration
Retrieval & Vectors
Hosting
Evaluation & Safety
Application
Why Build AI With TedIT
We combine hands-on LLM engineering with a decade of building the business systems AI now needs to plug into.
Grounded in Your Data
We design retrieval pipelines that keep answers factual and traceable to sources.
Safe by Design
Guardrails, approvals, and audit trails are standard—not add-ons.
Integration-Ready
Agents connect to your CRM, ERP, and APIs because we build those integrations too.
Model-Agnostic
We pick the best model for each task and can switch as the landscape changes.
Where Generative AI Pays Off
Sales & Marketing Teams
Lead qualification agents, personalized outreach, and content generation at scale.
Operations & Support
Ticket triage, knowledge assistants, and document processing that cut response times.
Product Companies
SaaS platforms adding AI copilots and smart features to differentiate and retain users.
Frequently Asked Questions
What is the difference between generative AI and agentic AI?
Generative AI produces content—text, summaries, images—in response to a prompt. Agentic AI goes further: agents plan multi-step tasks, call tools and APIs, and take actions to reach a goal, with humans approving where needed.