AI MVP
A usable first product with model, workflow, and review logic.
Who We Help
For teams that need to make a product decision, then ship it
Solvrz is most useful when the idea matters enough to test properly and the next step needs product thinking plus engineering delivery.
Founders and SMEs
Turn a product idea, AI workflow, or MVP scope into a buildable plan and usable first release.
MVP clarity
Innovation teams
Move from discovery and stakeholder intent into prototypes, pilots, and software delivery decisions.
Build path
Operations and compliance teams
Shape workflow tools, document systems, traceability layers, and review paths for serious internal use.
Governed workflows
Workflow automation
Internal tools that reduce manual handoffs and clarify ownership.
Product passport
Evidence-backed QR flows for product, batch, and supplier proof.
HR document system
Human-reviewed AI for document evidence, approval, and audit trails.
Agent-readiness tool
Store and content checks for how AI agents compare products.
What We Build
Practical software capabilities for product teams
Solvrz helps teams build AI products, automation workflows, digital trust systems, blockchain software, and fullstack platforms with clear delivery ownership.
2-4 weeks
Product discovery
Turn an idea into a buildable product brief.
Who it helps
Founders and teams before MVP spend
Why it matters
Reduces ambiguity before engineering starts.
Output
Decision-ready product scope
Typical deliverables
- Product brief
- Risk map
- Build plan
6-12 weeks
AI MVP Development Services
Build an AI MVP with product-quality foundations.
Who it helps
Teams ready to ship a usable AI tool
Why it matters
Connects UX, model behaviour, evaluation, and release planning.
Output
Usable AI product increment
Typical deliverables
- AI architecture
- MVP build
- Release plan
4-8 weeks
AI Services Roadmap
Choose the right AI path before committing budget.
Who it helps
Teams comparing AI options
Why it matters
Turns broad AI intent into a practical build sequence.
Output
Practical AI roadmap
Typical deliverables
- AI roadmap
- Service lane
- Build sequence
4-10 weeks
AI Automation Sprint
Map one workflow into an AI automation sprint and MVP path.
Who it helps
Operations and platform teams
Why it matters
Clarifies workflow, AI role, human review, and measurement.
Output
AI automation solutions framework
Typical deliverables
- Workflow map
- Review model
- MVP path
6-12 weeks
Document AI Verification
Design a document AI verification workflow for evidence and compliance.
Who it helps
Teams with document-heavy trust workflows
Why it matters
Turns extraction into review, confidence, and auditability.
Output
Document AI verification workflow
Typical deliverables
- Evidence model
- Review workflow
- Trust controls
6-12 weeks
RAG System Development
Build LLM tools with retrieval, review, and evaluation.
Who it helps
Teams with language-heavy workflows
Why it matters
Makes output quality and human review part of the product.
Output
Evaluated generative AI tool
Typical deliverables
- Prompt architecture
- Evaluation
- AI application
Not sure where to start?
Send the idea, workflow, or constraint. Solvrz can help decide whether discovery, prototype, MVP build, or technical review is the right next step.
Engagement Path
From product brief to working software
01
Brief
Clarify users, workflow, constraints, and business intent.
02
Scope
Select the output, timeline, and first build milestone.
03
Build
Run discovery, prototype, MVP, or product engineering work.
04
Decide
Use evidence to continue, reshape, scale, or stop.
Work With Solvrz
For teams that need product thinking and engineering delivery
Bring us an idea, workflow, or software problem. We help shape the product, design the system, build the first usable version, and prepare the next release with clear ownership and evidence.
Discover
Frame the opportunity, users, constraints, data realities, and decision criteria before build scope hardens.
Architect
Design the platform shape, integrations, governance boundaries, and evidence model needed for a serious product.
Prototype
Test the riskiest workflow, AI behaviour, trust layer, or operational assumption with a focused build.
Build
Engineer the product increment with fullstack delivery, review loops, security thinking, and release discipline.
Validate
Use evidence from users, operators, systems, and technical tests to decide whether to continue, reshape, or stop.
Launch
Move into pilot, production, or handoff with clear ownership, documentation, and iteration priorities.
How Solvrz Works
Strategy, product design, and engineering in one team
We help organisations move from a product idea to working software, and we apply the same build discipline to our own products: Janalix, Tracelynk, and Bismion.
01
Originate
Clarify the user, business goal, systems involved, and success criteria before a product build begins.
Product briefRisk mapBuild plan
One Build Team
Solvrz brings product strategy, UX, architecture, and fullstack engineering together so teams can move from idea to usable software without handing work between disconnected vendors.
2
Ways to Work
4
Core Capabilities
3
Portfolio Products
02
Validate
Turn the idea into prototypes, user flows, and architecture decisions that reveal product risk before scale-up.
03
Launch
Engineer production platforms, operating loops, and governance so client projects and owned products can move from concept to market.
Products We Are Building
Our portfolio shows how we turn ideas into working software
Janalix, Tracelynk, and Bismion show the method in practice: product thinking, focused workflows, careful AI use, and public product surfaces people can understand.
Clear Claims
We keep portfolio claims practical: what the product is for, what problem it addresses, and what evidence or build stage is currently public.
Janalix
Live ProductActive productAI-native HR document intelligence for reviewed evidence
Product
AI-native HR document intelligence for reviewed evidence
Audience
HR operations, BPO and outsourcing teams, compliance teams, and employers
Core workflow
A review-first workflow separates private source files, AI drafts, human decisions, audit events, signatures, and limited public verification links.
Public stage
Active product - Live Product
AI drafts document type, structured fields, confidence, and uncertainty before HR approval
Human-reviewed AI keeps records in draft state until an authorised reviewer acts
Limited verification links and QR codes expose approved fields, not private source files
HR TechDocument IntelligenceComplianceVerification
Tracelynk
Public Product SiteActive build trackEvidence-backed product passports for export supply chains
Product
Evidence-backed product passports for export supply chains
Audience
Export-ready brands, suppliers, wholesale buyers, and teams managing product proof
Core workflow
Human-approved claims become public passport summaries while source documents, supplier files, and reviewer notes stay private by default.
Public stage
Active build track - Public Product Site
Export product passport built around origin proof, supplier evidence, and batch context
Human-approved public summaries with private source files kept behind the scenes
QR passport flow for buyers to scan approved product and batch proof
Product PassportsSupply ChainQR VerificationEvidence
Bismion
Public Product SitePortfolio ProductAgent conversion optimisation for Shopify brands preparing for AI shopping agents
Product
Agent conversion optimisation for Shopify brands preparing for AI shopping agents
Audience
Shopify brands, ecommerce operators, and growth teams preparing for AI shopping agents
Core workflow
Agent-readiness audits combine store fact extraction, buyer-agent simulation, competitor context, losing-factor analysis, and approval-gated recommendations.
Public stage
Portfolio Product - Public Product Site
Store scan for product facts, schema, policies, FAQs, and trust signals
Buyer-agent simulation that shows what an AI agent picks and why
Merchant-approved fixes so recommendations do not publish automatically
AI AgentsEcommerceShopifyConversion Optimisation
Operating Proof
Credibility comes from the way we build
Solvrz keeps claims grounded in product examples, clear build stages, governance standards, and technical delivery discipline.
Owned products
Janalix, Tracelynk, and Bismion show how Solvrz turns product ideas into software systems.
Build method
Every engagement starts with users, workflow, constraints, risk, and the first useful product milestone.
Governance
Access, auditability, review paths, and ownership are treated as product requirements from the start.
Technical delivery
Solvrz connects architecture, UX, fullstack engineering, integration, and launch readiness.
Sector Credibility
Built for serious product and transformation contexts
Solvrz avoids unsupported logo walls. Instead, the site surfaces where the studio method is most relevant: regulated workflows, trust infrastructure, AI-enabled operations, and serious product delivery.
Enterprise Operations
Workflow automation, internal platforms, AI-assisted decision support, and system integration.
Education and Institutions
Credential verification, issuer workflows, learner records, and trusted validation experiences.
Finance and Digital Assets
DeFi product thinking, transaction integrity, access controls, and governance-aware delivery.
Software Product Teams
Product architecture, validation systems, launch planning, and fullstack engineering execution.
Evidence before scale
Discovery and build work is framed around assumptions, user risk, technical risk, and decision gates.
Governance from day one
Security, access, ownership, review paths, and operating constraints are treated as product requirements.
Product learning transfer
Lessons from Solvrz products flow into client builds, and client delivery discipline strengthens the portfolio.
Client proof will be expanded with named logos, testimonials, and quantified outcomes only when those claims are approved and verifiable.
FAQ
Direct answers for product and software buyers
Clear responses to common decision-stage questions about Solvrz services, product focus, and engagement scope.
Insights
View all postsProduct notes and build reports
Research perspectives, product lessons, and implementation notes from Solvrz products, client builds, and software delivery work.
Solvrz is led around a practical thesis: good software products need clear strategy, strong engineering, and accountable delivery. The team builds its own products while helping organisations launch AI and automation software.
Model
AI product studio + engineering partner
Focus
AI, digital trust, fullstack platforms
Method
Research, validate, build, launch
Work with SolvrzEmail
Tell us what you want to build
Share the product idea, workflow, users, constraints, and timeline. We will help you understand the right next step: discovery, prototype, MVP build, or technical review.
hello@solvrz.com
Two Tracks
Client software builds, AI products, automation workflows, blockchain systems, and Solvrz-owned products.
Typical response time: within 1 business day.
What happens next
1
We review the brief and check fit.
2
We reply with the clearest next step.
3
We suggest discovery, prototype, MVP, or technical review.
How a project starts
01
Brief
02
Fit review
03
Discovery path
04
Build plan
AI MVP or workflow automationProduct passport or trust workflowHR document intelligence or agent-readiness tool