Intelligent, context-aware bots and agents trained on your business data.

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ChatGPT Custom Tuning
Customer Deflection Agents
RAG Knowledge Bases
Claude 3.5 Integrations
Custom API Function Calling
Autonomous Support Teams
Voice Bots
Slack & Teams AI Helpers
ChatGPT Custom Tuning
Customer Deflection Agents
RAG Knowledge Bases
Claude 3.5 Integrations
Custom API Function Calling
Autonomous Support Teams
Voice Bots
Slack & Teams AI Helpers

What we build

Transform your business operations and customer satisfaction with bespoke AI solutions built for extreme precision.

Customer Support Bots

24/7 intelligent customer care bots that handle complex queries, track order statuses, and route high-priority tickets.

Internal AI Agents

Train assistants on your corporate wikis, SOPs, and spreadsheets to serve as instant internal knowledge helpers.

Autonomous Workflows

AI agents capable of calling APIs, sending emails, updating databases, and executing end-to-end task flows autonomously.

Voice & Conversational UI

Speech-to-text and text-to-speech agents optimized for human-like telephony, app voice interfaces, and real-time audio.

Ready to see how we can accelerate your business?

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AI impact case studies

Retail AI

E-Commerce Support Copilot

An intelligent shopping assistant integrated with Shopify and Zendesk, handling size guidance, order returns, and shipping tracking autonomously.

74% instant resolution rate
Internal Tools

SaaS Enterprise Knowledge Hub

Custom vector-database search bot trained on thousands of pages of internal documentation, enabling engineers to locate API schemas instantly.

3.5 hrs/week saved per employee
Fintech

Financial Lead Scoring Bot

Interactive conversational form assistant that scores prospective clients, handles real-time risk validation, and schedules qualified discovery calls.

192% increase in sales calls booked

How we train & build

01

Vector Scoping

Map out data sources (SOPs, FAQs, Databases) and design custom retrieval structures (RAG).

02

Agent Alignment

Write advanced system prompts, configure safety guardrails, and train LLMs to match your exact brand voice.

03

Pipeline Integration

Connect the AI agent securely with your existing CRMs, ticketing apps, Slack/Teams, or Shopify storefront.

04

Iterative Tuning

Launch shadow models, evaluate response logs, patch edge cases, and continuously fine-tune outputs for quality.

What's included

We design and support end-to-end conversational software pipeline configurations. Complete solution, ready for deployment.

Advanced RAG (Retrieval-Augmented Generation)
Secure API integrations
Tailored system prompts & brand voice alignment
Automatic fallback to human agents
Comprehensive conversational analytics dashboards
LLM safety and prompt injection guardrails
Continuous prompt auditing for 30 days
Privacy compliance (GDPR/HIPAA considerations)

Our commitments

99.9%

uptime SLA

Our agent pipelines run on highly-redundant, serverless enterprise infrastructure.

<2s

average response latency

Streamed responses ensure users see outputs instantly with zero boring loading states.

100%

data ownership

Your data stays yours. We enforce zero-retention policies on third-party LLM APIs.

74%

average ticket deflection rate

24/7

autonomous active support coverage

4.8s

average chat response time

Frequently asked questions

Can the AI bot connect directly to our CRM?

Absolutely. We build custom API middlewares connecting chatbots directly to Shopify, HubSpot, Salesforce, custom SQL databases, and internal messaging APIs.

Which LLMs (Large Language Models) do you use?

We choose the best tool for the job. Our systems support OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, Google Gemini 1.5 Pro, and custom fine-tuned open-source models like Llama 3.

How do you prevent the AI from hallucinating or outputting false info?

We implement rigid vector boundaries (RAG) which instruct the bot to answer strictly using vetted documentation. We also build comprehensive regex and LLM-based moderator layers that detect and neutralize hallucinations.

What is the typical timeline to deploy an intelligent agent?

Simple customer support bots take 3-5 weeks. Complex, multi-agent automated systems with heavy custom integrations take 8-12 weeks.

Is our data secure? Will it be used to train public LLM models?

No. We utilize commercial API endpoints and private enterprise tenancies (e.g. AWS Bedrock, Azure OpenAI) which legally guarantee that your business data is never logged or utilized for model training.

Book a Demo

Let's map your roadmap

Ready to eliminate manual operations, double your conversions, or build high-performance web systems? Schedule a 1-on-1 session with our engineering leads.

100% Free Audit

We analyze your operations or site speed live during the call.

Zero-Obligation Proposal

Get a detailed development blueprint with fixed, transparent scoping.

Direct Engineer Access

No account managers or salespeople. Talk straight to the builders.

Prefer direct email?

hello@ewynk.com

Get in touch

And see how we'd drive results for you