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Consulting Services

Custom AI Development
That Ships

Full-stack AI development delivering 40-70% cost reduction and measurable ROI.

From strategy and architecture to production deployment—we build AI solutions that handle real traffic, real data, and real business challenges.

AI product engineers moving a custom system from discovery and architecture to deployment
Cost reduction
40-70%
Cost reduction
Faster systems after optimization
30-50%
Faster systems after optimization
Lower running costs
20-40%
Lower running costs
Phases from call to go-live
6
Phases from call to go-live
Capabilities

Intelligence engineered

Full-stack AI development delivering 40-70% cost reduction and measurable business outcomes, and the reasons teams choose Zaltech AI to build it.

01

AI Strategy & Implementation Planning

Identify high-ROI use cases, assess technical feasibility, and create actionable roadmaps with clear cost-benefit analysis and timeline projections. You get use case prioritization & ROI analysis, technical feasibility & risk assessment, a 6-12 month implementation roadmap, and budget planning & resource allocation.

6-12 moRoadmap
02

Full-Stack Custom AI Development

End-to-end development from architecture to production. Voice AI, RAG systems, multi-agent workflows, automation—built for scale and real-world use. Delivered as production-ready AI systems, a full-stack application & APIs, integration with existing systems, and deployment, monitoring & support.

03

White-Label AI Platforms

License our battle-tested platforms with your branding. Medical documentation, voice AI, real estate automation—ready to deploy in weeks, not months. Includes fully branded platform access, HIPAA/compliance configurations, technical documentation & training, and ongoing updates & support.

04

AI System Integration & Optimization

Connect AI to existing EHRs, CRMs, ERPs, and databases. Optimize performance, reduce latency, cut costs, and scale existing AI implementations. Covers legacy system integration, performance optimization (30-50% faster), cost reduction (20-40% lower), and scalability & reliability improvements.

30-50%Faster
05

40-70% Cost Reduction

Proven track record of reducing operational costs through intelligent automation and workflow optimization.

40-70%Cost cut
06

Healthcare & Real Estate Focus

Deep domain expertise with production systems handling real patient data, property transactions, and compliance.

07

Full-Stack Engineering

From AI models to APIs to user interfaces—we handle the entire stack so you don't need multiple vendors.

08

Production-First Mindset

Every solution built for real traffic, real data, and real business challenges—not just impressive demos.

How it works

From discovery call to go-live

A structured approach to deliver quality results on time and within budget.

  1. 01

    Discovery Call

    1-2 hours. A technical deep-dive into your use case, ensuring alignment with your strategic goals.

  2. 02

    Technical Assessment

    2 days. We assess feasibility, the systems we would integrate with, and the risks worth flagging early.

  3. 03

    Proposal & Planning

    1 week. Scope, timeline and budget written down, with the roadmap agreed before any code is written.

  4. 04

    Development & Iteration

    Project-dependent. Built in iterations, with working software to review as the system comes together.

  5. 05

    Testing & QA

    1-2 weeks. Tested against real data and real traffic patterns, not just the happy path of a demo.

  6. 06

    Deployment & Training

    1 week. Deployment, handover and training, so your team owns and runs the system from day one.

The stack

Built on a stack we run in production

The same tools across every build, so the system your team inherits is one we already operate.

Frontend
ReactNext.jsTypeScript
Backend
FastAPIPythonDjango
Database
MongoDBPostgreSQLRedisNeo4j
AI/ML
OpenAILangChainAnthropicPinecone
Cloud
AWSHeroku
DevOps
DockerKubernetes
Next step

Ready to Build AI That Delivers ROI?

Book a free 30-minute strategy call. We'll assess your use case, discuss custom vs. platform options, and map out timeline + expected business outcomes.