Build Secure, Scalable Applications With AI at the Core
Aimlake designs and develops AI-powered mobile apps, web platforms, SaaS products and business systems from discovery and architecture through testing and launch.
We plan the intelligence, data, safeguards and user experience together. The result is an application where AI performs useful work inside the product instead of sitting beside it as a disconnected chatbot.
Conventional build
AI added near the end
The application is designed first, then an isolated AI feature is attached.
Feature-first architectureCore workflows are already fixed before AI opportunities are considered.
Disconnected chatbotAI can answer questions but cannot safely work across the product.
Manual repetition remainsTeams still move information between people, documents and systems.
Unmeasured output qualityNo structured evaluation, approval path or feedback loop.
One-time launch mindsetThe model and workflow are not designed to improve with real usage.
Aimlake AI-native build
Intelligence built into the system
AI, product logic and human oversight are designed as one operating model.
AI-native product architectureUse cases, workflows, data and model choices are planned from discovery.
Workflow-level intelligenceAI can search, summarize, recommend, create and automate within defined permissions.
Human control where it mattersReviews, confidence signals and approval steps protect important decisions.
Evaluation and guardrailsOutputs are tested for quality, privacy, reliability and business fit.
Owned and ready to evolveYour system, access and final deliverables are handed over under the agreement.
Industry Validation
Embedded AI engineering is a proven operating model.
Leading AI and software companies publicly hire engineers to work directly with customers, turn complex needs into production systems, and bring field learning back into the product.
P
Forward Deployed Software Engineering
Palantir
Palantir describes its forward-deployed role as engineers working side by side with customers to understand difficult problems and build solutions around critical data and AI.
OpenAI’s FDE team leads customer deployments from discovery and system design through production rollout, using real-world feedback to inform product and model roadmaps.
Anthropic publicly lists forward-deployed engineering and applied-AI roles focused on translating frontier models into useful, customer-specific systems and deployments.
Scale AI’s GenAI FDE role combines daily technical customer collaboration, end-to-end development, rapid experimentation and direct influence on the product roadmap.
The principle is the same: technical builders stay close to the business problem, ship working systems and improve them through real use. These companies are independent industry examples and are not represented as Aimlake clients, partners or endorsers.
Build
Custom Application Development
Mobile, web, SaaS and AI business systems built around real workflows - not generic feature packs.
Mobile appsWeb platformsSaaS productsAI business systems
Custom Build
Business Application
From $6,500 CAD
For teams that need a secure, scalable app connected to customers, staff and existing systems.
Built for growing operatorsProfessional services, healthcare, education, retail, real estate, logistics, finance and hospitality.Secure and owned by youRole-based access, documented IP and handover terms in the service agreement.One accountable build teamStrategy, design, engineering, AI integration and launch support under one partner.
FAQ
Common Questions
How much does custom app development cost?
Custom builds start from $6,500 CAD. Enterprise systems start from $25,000 CAD. Final pricing depends on scope, integrations and security requirements.
How long does a build take?
Most custom projects take 6 to 16 weeks. Complex enterprise work is usually delivered in phases.
Do you build iOS, Android, web and SaaS?
Yes. We develop mobile, web, portal and subscription products based on the users and goals of the system.
How does Aimlake build AI into the product?
We design AI into the product architecture from discovery - connecting models to the right workflows, data, permissions, human approvals and evaluation safeguards. Capabilities can include assistants, automation, intelligent search, recommendations, document processing and agentic workflows.
What happens after launch?
Launch and handover support are included in the agreed build scope. For ongoing monitoring, maintenance, security and updates, explore our separate Application Management Services.
Who owns the code?
Ownership, access and handover terms are defined in the signed service agreement.
PricingStarting estimates in CAD, excluding applicable taxes.ScopeFeatures, milestones and payment terms are confirmed in a signed proposal.Third partiesHosting, stores, APIs and licensed tools are separate unless stated otherwise.
Next Step
Turn Your Application Idea Into a Working Product
Share your users, goals, timeline and required integrations, and we’ll recommend a practical development path.
