AI Development Services
We turn AI from a slide in the strategy deck into software that works in production. From generative AI assistants and NLP pipelines to autonomous agents that run multi-step workflows, we design, build and deploy AI that's accurate, secure and measured against real business outcomes.
Start A Project
The more you tell us, the sharper the first reply.
- Use cases ranked by ROI
- Your data stays private
- Evaluated before launch
- Humans in the loop where it matters
Future-Ready AI Development for Real Businesses
Most AI initiatives stall between a promising demo and a dependable product. The gap is engineering: clean data, the right model for the job, guardrails against wrong answers, integration with existing systems and monitoring once real users arrive.
That's the work we specialise in. Our AI engineers, data scientists and product designers start by identifying where AI will genuinely move a metric, prove it with a focused proof of concept, then build it into production systems your team and customers can rely on.
- AI solutions shipped to production
- 60+
- Typical proof-of-concept timeline
- 4–6 Weeks
- Projects with evaluation before launch
- 100%
Find Your Path
Where are you starting from?
Most teams come to us in one of three situations. Pick the one that matches yours.
- 01I want to explore what AI can do for usYou know AI matters but not where to start. We run a discovery workshop, rank use cases by value and feasibility, and build a proof of concept for the strongest one.Jump to cost and timeline
- 02I have an AI prototype that isn't production-readyYour demo works, but accuracy, cost or security aren't good enough for real users. We evaluate it, harden it and take it to production.See what we build
- 03I need AI engineers on my teamYou have a roadmap but lack ML and LLM specialists. We embed experienced AI engineers who work within your product team.See staff augmentation
Ready to Put AI to Work in Your Business?
Talk to an AI EngineerAI Development Services That Deliver Measurable Value
From language models to computer vision, we build AI capabilities into your products and operations — always starting from the business outcome, not the technology.
Start Your AI ProjectGenerative AI
Generative AI assistants, copilots and content engines grounded in your data and built for production.
Explore Generative AINatural Language Processing
NLP systems that read, classify and extract meaning from text and speech — turning unstructured language into data.
Explore Natural Language ProcessingAI Agent Development
Autonomous AI agents that plan, use your tools and complete multi-step work — with humans in control.
Explore AI Agent DevelopmentAI Chatbot Development
Customer-facing and internal chatbots grounded in your knowledge base, with handover to humans when needed.
Discuss this with our teamMachine Learning Development
Custom models for forecasting, classification, recommendations and anomaly detection, trained on your data.
Discuss this with our teamComputer Vision
Image and video analysis for inspection, document processing, identification and safety monitoring.
Discuss this with our teamPredictive Analytics
Models that forecast demand, churn, risk and revenue so teams can act before problems appear.
Discuss this with our teamAI Consulting & Strategy
Use-case discovery, feasibility assessments, data readiness reviews and AI roadmaps.
Discuss this with our teamWondering Which AI Use Case Will Pay Back First?
Book a Free AI WorkshopTrusted By Leaders,Proven By Results
How Much Does AI Development Cost?
Three stages of AI work, from a C$35,200–C$70,300 proof of concept that tests your idea to enterprise platforms from C$253,000. Data readiness, integrations and compliance needs are what move the figure.
AI Proof of Concept
AI MVP / prototypeC$35,200–C$70,300
Best for startups and businesses validating AI ideas through working prototypes and focused AI solutions.
- AI use-case discovery and planning
- Data assessment and preparation
- Custom AI prototype development
- Foundation model and LLM integration
- Single-use-case AI functionality
- Basic conversational AI or chatbot
- Prompt engineering and optimisation
- Basic API and system integration
- Simple user interface and dashboard
- AI accuracy and performance evaluation
- Cost and feasibility assessment
- Prototype testing and validation
- Technical documentation and roadmap
- 30 days post-delivery bug support
Estimated delivery: 6–12 weeks
Get StartedProduction AI Solution
Custom AI chatbot / agentC$70,300–C$253,000
Best for growing businesses requiring production-ready AI chatbots, agents, automation, and intelligent systems.
- Everything in AI Proof of Concept
- Production-ready AI architecture
- Custom AI chatbot or agent development
- Context-aware conversational AI
- RAG and knowledge base integration
- Custom AI workflows and automation
- CRM, ERP and third-party integrations
- Multi-user access and admin dashboard
- AI-powered document processing
- Advanced prompt engineering and evaluation
- Model selection and optimisation
- AI guardrails and content filtering
- Usage analytics and performance monitoring
- Cloud deployment and scalability
- Security and quality assurance testing
- 90 days post-launch bug support
Estimated delivery: 3–6 months
Get StartedEnterprise AI Platform
Advanced AI & machine learningC$253,000+
Best for enterprises requiring custom AI platforms, machine learning models, and secure AI infrastructure.
- Everything in Production AI Solution, as applicable
- Enterprise-grade AI architecture
- Custom AI and machine learning models
- Model fine-tuning and evaluation
- Private AI model deployment
- Multi-agent AI orchestration
- Predictive analytics and forecasting
- Advanced NLP and computer vision
- Enterprise CRM and ERP integrations
- Large-scale data processing pipelines
- Multi-team and multi-region deployment
- AI governance and audit controls
- Advanced security and compliance features
- High-availability cloud infrastructure
- Model monitoring and continuous optimisation
- Dedicated AI engineering and support team
Estimated delivery: 6–12+ months
Get StartedFinal pricing is confirmed after a discovery workshop and data review. Prices are shown in CAD, converted from our US dollar price list.
Need a Realistic Estimate for Your AI Project?
Get an AI Project EstimateOur AI Development Process
AI projects carry unique risks — data quality, accuracy, cost and trust. Our process tackles them early so production launch is a confident step, not a leap.
- 01
Discovery & Use Cases
We identify where AI can move a business metric and rank opportunities by value, feasibility and risk.
- 02
Data Readiness
We assess, clean and prepare your data, and design secure pipelines for training or retrieval.
- 03
Model & Architecture
We select models and design the system — RAG, fine-tuning, agents or classic ML — for accuracy and cost.
- 04
Build & Integrate
We develop the AI system and integrate it with your applications, data sources and workflows.
- 05
Evaluate & Harden
Accuracy, bias, safety and cost are tested against agreed benchmarks, with guardrails added where needed.
- 06
Launch & Monitor
We deploy, monitor quality and usage in production, and improve the system as real data arrives.
How We Keep Enterprise AI Secure and Compliant
AI touches sensitive data and makes consequential decisions. We build governance into the architecture — not as an afterthought — aligned with the frameworks your organisation answers to.
Data Privacy by Design
Data minimisation, anonymisation and private deployments keep sensitive information protected.
GDPR & CCPA
Lawful processing, consent and data subject rights respected across AI pipelines.
HIPAA Alignment
Safeguards for AI systems that process protected health information.
EU AI Act Readiness
Risk classification, documentation and transparency practices for AI regulation.
NIST AI RMF
Risk management practices aligned with the NIST AI Risk Management Framework.
Bias & Fairness Testing
Outputs evaluated across user groups to detect and reduce unfair outcomes.
Explainability & Audit Trails
Logged inputs, outputs and decisions so AI behaviour can be reviewed.
OWASP LLM Top 10
Defences against prompt injection, data leakage and other LLM-specific risks.
AI Models & Technology We Work With
We're model-agnostic. We choose commercial or open-source models based on accuracy, cost, latency and where your data is allowed to go.
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Llama
- Mistral
- LangChain
- LlamaIndex
- Hugging Face
- PyTorch
- TensorFlow
- Python
- PostgreSQL
- Pinecone
- Weaviate
- Databricks
- Google Cloud
- AWS SageMaker
- Azure OpenAI
- Docker
- MLflow
High-Value AI Capabilities We Build In
The capabilities that make AI useful and trustworthy in production — combined to fit each use case.
- 01Retrieval-Augmented Generation
- 02Source Citations
- 03Tool & API Calling
- 04Human-in-the-Loop Review
- 05Multilingual Understanding
- 06Document Extraction
- 07Sentiment Analysis
- 08Voice & Speech
- 09Usage & Cost Monitoring
- 10Prompt-Injection Defences
Industries We've Built AI Solutions For
AI delivers the most value where it understands the domain. We bring sector knowledge so models respect the data, rules and risks of your industry.
- 01
Healthcare
Clinical documentation, intake, triage support and medical image analysis.
- 02
Finance & Insurance
Document processing, fraud detection, risk scoring and advisor copilots.
- 03
Ecommerce & Retail
Recommendations, demand forecasting, search and shopping assistants.
- 04
Logistics
Route optimisation, ETA prediction and automated document handling.
- 05
Legal & Professional
Contract review, research assistants and knowledge management.
- 06
Education
AI tutors, content generation and personalised learning paths.
- 07
Real Estate
Valuation models, lead qualification and listing generation.
- 08
Manufacturing
Visual inspection, predictive maintenance and quality analytics.
Need AI Systems That Stay Compliant Beyond Launch?
Talk About AI GovernanceWhy Choose 360 Digital Online for Custom AI Development?
We build AI that earns its place in your business — measured, governed and integrated into the way your teams work.
Outcomes Over Hype
Every project starts with a measurable business goal and a clear way to evaluate whether AI achieves it.
Production Engineering
We build the unglamorous parts — data pipelines, integrations, monitoring — that make AI reliable at scale.
Model-Agnostic Choices
We pick models for accuracy, cost and data residency, not vendor loyalty, and keep you free to switch.
Responsible by Design
Privacy, security, bias testing and human oversight are built into every AI system we deliver.
Where Artificial Intelligence Is Heading Next
AI is moving quickly. These are the emerging capabilities we're already deploying for clients.
- 01
Agentic Workflows
AI agents that plan and execute multi-step tasks across tools, with human approval at critical points.
- 02
Multimodal AI
Systems that understand text, images, audio and video together for richer, more natural interactions.
- 03
Small & On-Device Models
Compact models that run privately on devices or your own servers for speed and data control.
- 04
AI Voice Agents
Natural voice assistants that handle calls, bookings and support around the clock.
- 05
Synthetic Data
Privacy-safe synthetic datasets to train and test models where real data is scarce or sensitive.
- 06
Continuous Evaluation
Automated testing that tracks AI accuracy and safety as models and data change.
Ready to Build Something Intelligent?
Start Your AI ProjectArtificial Intelligence FAQs
How much does AI development cost?
An AI Proof of Concept costs C$35,200–C$70,300, a Production AI Solution C$70,300–C$253,000, and an Enterprise AI Platform starts from C$253,000. Data readiness, integrations and compliance needs are the main cost drivers.
How long does it take to build an AI solution?
A proof of concept usually takes 4–6 weeks. Production systems take 3–6 months depending on scope, data and integrations.
Will our data be used to train public models?
No. We use enterprise APIs with no-training guarantees or deploy models privately, and we design data flows so your information stays under your control.
How do you prevent AI from giving wrong answers?
We ground answers in your approved data, add guardrails and confidence thresholds, evaluate against test sets before launch and route uncertain cases to humans.
Do we need a lot of data to use AI?
Not always. Many generative AI solutions work with your existing documents. Custom machine learning models need more historical data, which we assess during discovery.
Which AI model is best for our project?
It depends on accuracy needs, cost, latency and data restrictions. We benchmark several models on your use case and recommend the best fit.
Can AI integrate with our existing systems?
Yes. We integrate AI with CRMs, ERPs, help desks, databases and custom applications via APIs.
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