Our Services

Full-service AI development, product engineering, and go-to-market strategy. We help you ship AI solutions that deliver measurable ROI.

AI Services

From conversational AI to computer vision, we build production-ready AI systems that solve real business problems.

Conversational AI

Build intelligent chatbots, virtual assistants, and conversational interfaces that understand context and deliver human-like interactions.

Best for:

Customer support, internal knowledge bases, lead qualification

Typical outcomes:

  • 24/7 availability
  • Reduced support costs
  • Improved customer satisfaction

Generative AI & AI Agents

Deploy GPT-powered systems that generate content, automate workflows, and make intelligent decisions with minimal human intervention.

Best for:

Content creation, document processing, complex decision automation

Typical outcomes:

  • 10x productivity gains
  • Consistent quality
  • Scalable operations

Machine Learning

Custom ML models for prediction, classification, and recommendation systems trained on your data.

Best for:

Fraud detection, demand forecasting, personalization

Typical outcomes:

  • Data-driven decisions
  • Predictive insights
  • Automated classification

Computer Vision

Image and video analysis for object detection, classification, and quality control applications.

Best for:

Quality assurance, security monitoring, medical imaging

Typical outcomes:

  • Automated inspection
  • Real-time detection
  • Reduced human error

AI for IoT

Edge AI and IoT integration for real-time processing and intelligent device networks.

Best for:

Smart manufacturing, environmental monitoring, predictive maintenance

Typical outcomes:

  • Real-time processing
  • Reduced latency
  • Edge intelligence

AI Workflow Automation

Intelligent process automation that learns and adapts to optimize business workflows.

Best for:

Document processing, approval workflows, data entry

Typical outcomes:

  • 80% time savings
  • Error reduction
  • Process optimization

AI Knowledge Bases

Semantic search and RAG systems that turn your documents into intelligent knowledge bases.

Best for:

Enterprise search, customer support, compliance

Typical outcomes:

  • Instant answers
  • Better decision making
  • Knowledge retention
Built with AIKit

Implementation Examples

See how AIKit powers our AI services with production-ready code examples

Conversational AI Example

Build an AI chatbot with streaming responses using AIKit

import { useAIStream, StreamingMessage } from '@ainative/ai-kit';
import { useState } from 'react';

function AIChatbot() {
  const { messages, isStreaming, send } = useAIStream({
    endpoint: '/api/chat',
    model: 'gpt-4',
  });

  const [input, setInput] = useState('');

  const handleSend = async () => {
    await send(input);
    setInput('');
  };

  return (
    <div className="chat-container">
      {messages.map((msg) => (
        <StreamingMessage
          key={msg.id}
          role={msg.role}
          content={msg.content}
          animationType="typewriter"
        />
      ))}
      <input value={input} onChange={(e) => setInput(e.target.value)} />
      <button onClick={handleSend} disabled={isStreaming}>Send</button>
    </div>
  );
}
Type-SafeProduction-ReadyIncludes SafetyOpen Source

Product & Engineering

Full-stack development of web, mobile, and enterprise applications with AI capabilities baked in.

Custom Web Applications

Full-stack web applications built with modern frameworks and best practices.

Best for:

SaaS products, internal tools, customer portals

Tech stack:

ReactNext.jsNode.jsPostgreSQLAWS

Mobile App Development

Native and cross-platform mobile applications for iOS and Android.

Best for:

Consumer apps, field service tools, mobile-first products

Tech stack:

React NativeSwiftKotlinFirebase

Enterprise AI Systems

Scalable AI platforms that integrate with existing enterprise infrastructure.

Best for:

Large organizations, complex integrations, high-volume processing

Tech stack:

MicroservicesKubernetesKafkaRedisML pipelines

Platform Modernization

Migrate legacy systems to modern architectures with AI capabilities.

Best for:

Outdated systems, monolith breakup, cloud migration

Tech stack:

Cloud-nativeAPI-firstEvent-drivenContainerization

Strategy & Go-To-Market

AI product strategy, design sprints, and go-to-market execution that drives measurable growth.

AI Product Strategy

Define product vision, roadmap, and go-to-market strategy for AI-powered products.

Deliverables:

  • Product roadmap
  • Market analysis
  • Competitive positioning
  • Success metrics

Design Sprints

Validate ideas and de-risk AI projects in 1-2 weeks before committing to development.

Deliverables:

  • Prototype
  • User testing
  • Feasibility assessment
  • Go/no-go decision

AI Go-To-Market Strategy

Launch strategy, positioning, and execution plans for AI products.

Deliverables:

  • GTM plan
  • Messaging framework
  • Channel strategy
  • Sales enablement

Growth & Conversion Optimization

Data-driven optimization of user acquisition, activation, and retention.

Deliverables:

  • Growth experiments
  • Funnel optimization
  • A/B testing
  • Analytics setup

HubSpot & CRM Integrations

Marketing automation and CRM implementation to drive pipeline growth.

Deliverables:

  • CRM setup
  • Automation workflows
  • Lead scoring
  • Reporting dashboards

Not Sure Where to Start?

Talk to our founders. We'll assess your needs, recommend the right approach, and provide a clear path forward with ROI projections.

Schedule a Call