Manual work is still buried in documents
Tender, company-structure, event, and fraud workflows all start with fragmented files, recordings, CSVs, or reports that need structured extraction before teams can act.
AI product engineering
Intelligent software for teams moving beyond manual work.
XpertSol designs and builds AI-enabled products for document-heavy workflows, data-rich operations, and digital services that need more than a prototype.
From AI integration and ML MVPs to web, mobile, and cloud-backed interfaces — research to deployment, with the upkeep to keep it reliable.
13+portfolio products
AI automation, fintech, hiring, healthcare, SaaS, and product design.
6core service lines
From AI integration to deployment, upkeep, and due diligence.
5delivery stages
Research, prototyping, development, deployment, and maintenance.
96%fraud model accuracy
Detection accuracy on the credit-card fraud classification build.
Where AI gets useful
Built for software that has to understand messy operations.
The work centers on practical product problems: fragmented source material, difficult decisions, manual review, and interfaces that make technical systems usable.
AI concepts need product discipline
Useful AI products need interfaces, data flows, APIs, authentication, cloud storage, and maintainable user journeys, not just model output.
Interfaces decide whether automation gets adopted
Technical systems earn adoption through clear flows, dashboards, mobile screens, and product language that teams can trust.
Services
A focused build system for AI products and workflow software.
Each service line supports a practical stage of the journey — deciding what to automate, designing the product, building the system, and keeping it reliable after launch.
01
Artificial intelligence integration
Embed AI into real workflows where teams need extraction, classification, summarization, transcription, recommendations, or structured outputs.
- Document and data ingestion
- Semantic analysis and summaries
- Human-readable review outputs
02
AI/ML product and MVP development
Shape AI concepts into shippable product paths with research, architecture, prototyping, model workflows, and usable interfaces.
- Product roadmap and scope
- ML pipelines and evaluation
- Prototype-to-build execution
03
Web and mobile application design
Design and build digital products with clear navigation, dashboards, mobile flows, brand systems, and responsive user experiences.
- UX flows and sitemaps
- Dashboards and portals
- Mobile and SaaS interfaces
04
Document and workflow automation
Turn messy operational inputs into organized, searchable, decision-ready information with pipelines built around the real process.
- Metadata mapping
- Compliance review support
- Structured JSON and summaries
05
Deployment and product upkeep
Carry products past the prototype with cloud deployment, authentication, persistence, performance tuning, and ongoing maintenance.
- Cloud-backed systems
- Authentication and storage
- Upkeep and optimization
06
Strategic consultancy and technical due diligence
Assess what to build, what to automate, where AI belongs, and how to structure the work before engineering time is spent.
- AI consultation and strategy
- Technical feasibility review
- Architecture and roadmap planning
Selected work
AI systems and product interfaces built around real workflows.
Data-heavy operations, workflow automation, mobile products, and decision-ready interfaces — the kind of work XpertSol is built for.
WORK / 01
TenderMind
Document intelligenceAn AI-enhanced tender analysis and review system for public-procurement workflows, covering multi-format ingestion, metadata mapping, compliance review support, structured JSON, and human-readable summaries.
WORK / 02
TreeViewX
VisualizationA company-structure visualizer that turns rigid PDF reports into interactive hierarchy diagrams with upload, extraction, authentication, persistent storage, and cloud deployment.
WORK / 03
EventIQ
Real-time AIA real-time event-monitoring concept that converts live audio into searchable, speaker-aware data and organizer insights through transcription, chunking, context mapping, and analysis.
WORK / 04
MapVue
Experience AIAn AI-enhanced real-estate exploration concept combining 3D maps, real-time video previews, AI-generated videos, live updates, and scalable cloud-backed browsing.
WORK / 05
FinMap
Fintech productA banking and budgeting product concept with money transfer, transaction history, AI budget creation, AI-assisted transfers, and financial-help interactions.
WORK / 06
Gluon
Growth automationAn AI-first marketing employee concept for go-to-market workflows, project organization, AI-generated email content, editing flows, and self-learning growth automation.
Process
A practical path from unclear workflow to deployable product.
Strategy and implementation stay close together, so the first version has a clear scope, credible architecture, and a path into production.
01
Research and planning
Clarify the workflow, users, source material, data inputs, risks, and product objective before defining the build.
02
Design and prototyping
Turn the concept into flows, screens, architecture notes, and prototype behavior that stakeholders can evaluate.
03
Development and integration
Build the application layer, AI/ML pipeline, backend services, APIs, data handling, and interface details.
04
Deployment
Prepare the product for real use with hosting, authentication, storage, performance, and handoff-ready structure.
05
Upkeep and optimization
Improve accuracy, reliability, UX, and scalability as the system meets new data, users, and operational needs.
Operating model
What makes the work credible before the build starts.
Full-cycle product thinking
Work moves from research and planning through prototyping, development, deployment, and upkeep.
AI with operational context
The strongest project examples are not generic chatbots; they map AI to tenders, events, fraud review, structures, real estate, banking, and hiring workflows.
Interface craft beside engineering
Mobile flows, dashboards, typography, color systems, and full-page web examples sit beside the engineering work.
Responsible proof discipline
Public claims stay tied to verified work instead of inflated metrics, borrowed logos, or unsupported guarantees.
More from the portfolio
Breadth across product categories.
01
Liasions. hiring communication platform with applicant and job-post workflows.
02
Credit Card Fraud Detector. LightGBM classification workflow with CSV upload and fraud/non-fraud outputs.
03
Medicall. healthcare mobile app with search, appointments, video call, chat, and statistics screens.
04
Invoiced. reconciliation dashboard for payments, claims, invoices, expenses, and messages.
FAQ
Decision questions for the first conversation.
Use these to decide whether the next step is product strategy, a scoped MVP, interface design, or a technical review.
The source material supports AI-enabled SaaS products, document-intelligence systems, ML MVPs, workflow automation, web/mobile application design, cloud-backed portals, and technical advisory.
Yes. The portfolio examples begin with specific operational problems such as tender review, company hierarchy reports, live event audio, transaction CSVs, hiring communication, and financial planning flows.
No. The service set also includes web/mobile application design and development, web3 and blockchain solutions, deployment and upkeep, and strategic consultancy.
The process starts with the workflow, users, source material, data risks, and product objective before defining the MVP. That keeps the first build focused on the parts that prove value.
Contact us
Bring the workflow, product idea, or process map. Start with a focused build conversation.
Start with a focused review of the process, data, user experience, risks, and product path. From there, XpertSol can shape the MVP, build the interface, and prepare the system for deployment.