AI & Machine Learning
AI Integration & Automation
Add AI features that feel native to your product. We ship assistants, search, and automations that are grounded in your data, measurable in quality, and ready for production. AI delivery with product-safe UX: guardrails, evals, and clear fallbacks (APAC overlap (AEST/AEDT-friendly)).
Benefits
What you get
Model-agnostic (OpenAI, Claude, Bedrock)
RAG knowledge bases with citations
Tool calling + workflow automation
Document parsing & structured extraction
Voice + vision features when needed
Evaluation, monitoring, and iteration
Features
What we deliver
AI Assistants (In-Product)
Chat and command interfaces with memory, tool calling, and safe fallbacks—designed for real user workflows, not demos.
RAG Knowledge Bases
Retrieval systems that answer from your docs with citations, excerpts, and permission-aware access when required.
Workflow Automation
Automate ops and support tasks using structured prompts, function calling, approvals, and audit-friendly logs.
Document Intelligence
Extract data from PDFs, forms, and unstructured content—normalize it into clean JSON your systems can use.
Voice & Vision
Speech-to-text, text-to-speech, and image understanding for voice notes, call summaries, or visual inputs.
Quality & Safety Layer
Evals, regression tests, red-team scenarios, and analytics so accuracy improves over time and failures are visible.
Process
How we work
Discovery
Requirements gathering and planning
Design
UI/UX design and prototyping
Development
Iterative sprints with demos
Launch
Deployment and support
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Customer Support
Grounded assistants that answer from your help center and tickets, with human handoff and low-confidence fallbacks.
Internal Knowledge
Search + Q&A across SOPs, wikis, and docs so teams find answers fast—with citations and access control.
Ops Automation
Summaries, routing, tagging, and structured extraction that reduce manual work while keeping reviews in the loop.
Product Intelligence
Natural language queries over product data, dashboards, and events—turning metrics into decisions.
FAQ
Frequently asked questions
Timeline depends on scope. MVPs typically take 8-12 weeks, while larger projects can take 4-6 months. We provide detailed timelines during the estimate phase.
We offer both fixed-price and time-and-materials pricing. Fixed-price works best for well-defined projects, while T&M is ideal for evolving requirements.
Yes, we offer maintenance packages including bug fixes, security updates, and feature enhancements after launch.
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Regional
Delivery considerations for your region
Compliance & Data (AU)
For Australian teams, we keep privacy and data-handling explicit: access boundaries, safe logging, and clear retention policies.
We can support residency-sensitive designs (where feasible) and document data flows for stakeholder review.
- Privacy Act-aware delivery posture (generic, no legal claims)
- Documented data flows and access boundaries
- Retention/deletion options where required
- PII-safe logging and least-privilege defaults
- NDA and DPA templates available on request
Timezone & Collaboration (APAC)
We support APAC collaboration with AEST/AEDT-friendly meeting windows and async progress updates.
We keep momentum with weekly milestones, crisp priorities, and predictable release planning.
- APAC overlap with AEST/AEDT windows
- Async-first updates and written decisions
- Weekly milestone demos and scope control
- Release planning with staged rollouts
- Clear escalation path for blockers
Engagement & Procurement (AU)
We can structure engagements with clear scope, milestones, and invoicing that fits common procurement expectations.
If you need a lightweight vendor onboarding pack, we can provide delivery process notes and security posture summaries.
- AUD-based engagements and invoicing options
- Milestone-based billing for fixed-scope work
- Time-and-materials for evolving scope
- Procurement-friendly documentation on request
- Optional paid discovery to de-risk delivery
Security & Quality (APAC)
With APAC teams, async clarity matters: written decisions, stable releases, and test coverage that prevents regressions.
We use performance budgets and release checklists so handoffs stay smooth across timezones.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Release checklist + rollback plan for production launches
- Security checklist for auth and sensitive data flows
- Observability hooks (logs + error tracking) ready for production
Want help with AI integration?
Get a clear plan for Australia teams—scope, timeline, and next steps. AUD-based engagements.
Reply within 2 hours. No-pressure consultation.