- Mobile Apps
- iOS App Development
- Android App Development
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- React Native App Development
- Web Development
- Web App Development
- Frontend Development
- Backend Development
- API Development
- Extra Services
- UI/UX Design
- Software Testing
- Dedicated Team
- IT consulting
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- Experts for a tech projects on any request
- Product Discovery
- Business analysis and solution architecture
- Custom Software development
- Bespoke solution for web and mobile
- HealthTech and MedTech
- EHR, EMR, patient Portal
- Telemedicine
- Patient monitoring
- Mental Health Tech
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- Warehouse Managment
- Last mile delivery
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- Fintech and blockchain
- FinTech
- Banking
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AI Development Services That Ship
Turn AI ideas into production-ready features inside your product—GenAI, agents, RAG knowledge assistants, integrations, and custom ML.
When Businesses Need AI Development
Teams usually reach out when they want AI to improve outcomes—without guessing, overbuilding, or risking unreliable output.
Best for: SaaS products, platforms, internal tools, and integration-heavy systems. Not ideal for: hype-driven "AI for AI's sake" projects with no workflow owner or measurable success criteria.
You have AI ideas but need to validate feasibility, cost, and ROI before building
You want to embed AI inside an existing web or mobile product
Your support or operations teams spend too much time searching, summarizing, and responding
You need automation beyond simple scripts—multi-step workflows with approvals and guardrails
You want to use internal knowledge safely (documents, tickets, databases) without data leakage
You need predictable output quality, lower cost per request, and fewer failures in production
Proof & Delivery Confidence
Delivery model built for execution: discovery → prototype → build → rollout. Designed to integrate into existing products (not standalone demos).
Optional proof placeholders: Clutch rating, projects delivered, industries served.
What We Build with AI
Our AI solutions are designed to be measurable and operational—tied to workflows, users, and outcomes.
AI assistants that answer questions and complete tasks using company knowledge
Automated operational workflows (triage, routing, approvals, updates across tools)
Faster customer support and internal enablement through knowledge search and summarization
AI features embedded into products (recommendations, generation, classification, insights)
Improved decision workflows using structured AI outputs and validation checks
AI Services We Offer
We deliver AI solutions built for real workflows. Each service can be delivered standalone or combined into an end-to-end engagement.
Generative AI Development
Build GenAI features like copilots, summarization, extraction, and structured outputs—designed for real product usage.
ExploreAI Agent Development
Automate multi-step workflows across tools and systems with controlled execution, approvals, and auditability.
ExploreRAG Knowledge Assistants
Create assistants grounded in your internal knowledge (docs, tickets, databases) with permissions and source-backed responses.
ExploreAI Integration Services
Embed AI into existing web/mobile products and internal platforms so it feels native to user workflows.
ExploreCustom Machine Learning Models
Develop predictive ML models (forecasting, classification, anomaly detection, recommendations) for structured business problems.
ExploreLLM Optimization & Evaluation
Improve quality, consistency, cost, and reliability with evaluation frameworks and optimization—including fine-tuning when justified.
ExploreSecurity, Privacy & Responsible AI
Role-based access and permission boundaries for data and tools
Data minimization: only the required context is used per workflow
Auditability: logs for actions, outputs, and key decisions (where applicable)
Safe fallback behavior when confidence is low or inputs are unclear
Compliance support: SOC2 / NDA / secure environments
Engagement Options
AI Discovery Sprint (1–2 weeks)
Use cases, feasibility, cost/ROI, rollout plan
Prototype / PoC (1–3 weeks)
Validate output quality + cost + workflow fit
MVP Build (4–8 weeks)
Production-ready feature with guardrails + metrics
Optimization & Iteration
Evaluation harness + reliability + cost/latency improvements
How We Deliver AI Projects
Our process is designed to move from uncertainty to production with clear checkpoints.
Use Case Discovery & Success Criteria
Define the workflow owner, measurable goals, constraints, and risk tolerance.
Prototype (Fast Validation)
Build a small proof that validates feasibility, output quality, and cost.
Architecture & Integration Plan
Define data sources, access control, workflows, and how AI fits into your product.
Build & Production Implementation
Build the solution with reliability controls and integration-ready interfaces.
Evaluation, Rollout & Iteration
Track performance, improve results, and expand the solution responsibly.
What You Receive
Deliverables vary by engagement, but typically include:
Use case shortlist and recommended implementation approach
Architecture plan (data sources, boundaries, integration points)
Prototype/MVP with measurable outputs
Evaluation plan (quality checks, failure cases, guardrails)
Rollout plan with success metrics and iteration priorities
Why Choose Sigi for AI Development
Many AI vendors focus on prototypes. We focus on product delivery.
AI solutions designed around real workflows and adoption
Engineering-first execution with implementation-ready architecture
Clear evaluation and reliability planning (not "trust the model")
Ability to integrate AI into your existing product and systems
Frequently Asked Questions
Common questions about our AI services
Do you work with our existing product and team?
Yes. We can integrate AI into your current app and collaborate with your internal engineering team.
Do you only build generative AI solutions?
No. We deliver GenAI, agents, RAG knowledge assistants, and traditional machine learning models depending on the use case.
How do you reduce hallucinations and unreliable outputs?
We use grounded retrieval where appropriate, structured outputs, evaluation sets, and guardrails aligned to your workflow risk level.
Can you help us choose the right model or approach?
Yes. We recommend approaches based on use case, constraints, cost, and reliability—then implement accordingly.
How do you handle privacy and internal data?
We apply access boundaries, permission-aware retrieval where needed, and minimize the data used per request. We can align implementation to your security and compliance requirements.
Your Vision, Our Expertise
Tell us about your needs, and we’ll build the right solution for you.
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- Custom Software Development
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- Hire Developers
- Dedicated Development Team
- UI/UX Design
- Bespoke Software Development
- AI Development
- Code Audit
- IT Consulting
- Managed IT Services
- Quality Assurance
- Hire Developers
- AI Consulting
- Executive AI Workshop
- AI Proof of Concept
- Generative AI Development
- Web Development
- Code Audit
- IT Consulting
- Managed IT Services
- Mobile App Development
- Code Audit
- IT Consulting
- Cross Platform App Development
- Code Audit
- IT Consulting
- Cloud App Development
- Code Audit
- IT Consulting
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- Quality Assurance
- Hire Developers
- Business Digitalization
- CRM Development
- ERP Software Development
- Business Intelligence Consulting
- Legacy Software Modernization
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- Business Digitalization
- CRM Development
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- Business Intelligence Consulting
- Legacy Software Modernization
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- Business Digitalization
- CRM Development
- ERP Software Development
- Business Intelligence Consulting
- Legacy Software Modernization
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- Business Digitalization
- CRM Development
- ERP Software Development
- Business Intelligence Consulting
- Legacy Software Modernization
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- Business Digitalization
- CRM Development
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- Legacy Software Modernization
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- Business Digitalization
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