Innovation Discovery
Define the right problem, success criteria, and technical direction before committing enterprise innovation budgets.
Solvrz connects innovation discovery to execution with platform modernization, AI workflow automation, blockchain verification systems, and DeFi product development for high-stakes delivery.
Define the right problem, success criteria, and technical direction before committing enterprise innovation budgets.
Ship production-ready platforms with fullstack TypeScript, clear architecture, and measurable release milestones.
Upgrade legacy workflows into composable systems with platform modernization plans that protect core operations.
Design enterprise AI workflow automation with auditability to reduce manual decision cycles and improve operational speed.
Deliver blockchain development and DeFi product development for verifiable digital trust infrastructure and secure transaction flows.
Embed security, access control, and release governance into delivery from day one to protect digital trust infrastructure.
As a hybrid innovation lab and engineering partner, we use one operating model across internal products and external engagements: discover with rigor, build with discipline, and scale with accountability. Our cross-border model combines London-based innovation leadership with Dhaka-based engineering execution.
Frame the right problem first. We run structured discovery to align business goals, technical constraints, and measurable success criteria.
Convert strategy into production systems. We prototype, validate, and ship with fullstack TypeScript, AI workflows, and secure architecture patterns.
Operationalise outcomes. We establish release cadence, handover standards, and governance so innovation continues after launch.
Every initiative follows a product engineering partner model: define the problem, ship the build, and track measurable outcomes. This applies to internal products and external digital trust infrastructure programs.

Enterprise AI Workflow Automation with Auditability
Problem
Operational teams struggle with brittle workflows and high manual decision load across legacy enterprise systems.
Build
A hybrid automation platform that combines deterministic rules, adaptive AI layers, and integration connectors for existing stacks.
Outcome Focus
Target outcome: reduce turnaround time on complex operational decisions through enterprise AI workflow automation with auditability.
Hybrid AI engine that blends deterministic rules with generative models
Plug-and-play connectors for ERP, CRM, and custom data sources
Intelligent task routing that learns from operator decisions

Blockchain Credential Verification Platform
Problem
Credential verification is often slow, fragmented, and difficult to trust across institutions and employers.
Build
A blockchain credential verification portal with on-chain proof, issuer workflows, and one-click validation for external stakeholders.
Outcome Focus
Target outcome: shorten verification cycles and improve trust in issued credentials through tamper-evident records.
Tamper-proof credential issuance backed by on-chain proof
Built on an energy-efficient consensus layer with near-zero carbon footprint
One-click verification for employers, institutions, and auditors

Founder & Principal
Mirza leads Solvrz with a practical thesis: serious innovation requires both research depth and production discipline. Under his direction, the lab builds internal deep-tech products while partnering with organisations on high-impact delivery programs.
His approach favors clear problem framing, strong engineering standards, and measurable outcomes over presentation theatre. Solvrz operates through a distributed delivery model with specialist teams aligned around clear briefs and production discipline.
We operate through a distributed delivery model, keeping our proposition verifiable through clear operating structure, technical domains, and execution discipline.
Clear responses to common decision-stage questions about Solvrz model, domain focus, and delivery scope.
Solvrz builds in-house deep-tech products and delivers innovation programs for external organisations.
Solvrz operates a hybrid model: an innovation lab plus an engineering delivery partner for client programs.
Core domains include AI engineering, blockchain development, DeFi product development, and fullstack TypeScript platform delivery.
Yes. Solvrz runs both in-house product tracks and external delivery tracks using the same discover-build-scale operating model.
Solvrz uses a distributed, research-led operating model that supports both in-house product development and client delivery programs.
Research perspectives, implementation lessons, and delivery field notes from Solvrz products and client innovation programs.
Share your context, stage, and objectives. We will map the next steps around discovery, build, or scale based on your needs.
hello@solvrz.com
Based
Headquarters: London, UK. Development Center: Dhaka, Bangladesh.
Typical response time: within 1 business day.