Services
Build, modernize, and scale your product with one engineering partner
Techparser covers the full path from idea to production: AI and automation, MVP and SaaS development, custom software, web and mobile applications, e-commerce, DevOps, and the growth work that follows launch.
AI & Automation
AI systems that ship into production: agents, chatbots, RAG, and workflow automation.
AI & ML Solutions
AI agents, chatbots, RAG systems, document AI, and predictive features built into real products.
Learn moreAI Automation & Agents
Automate repetitive workflows, connect tools, process documents, and cut manual operations.
Learn moreGenerative AI Development
AI copilots, assistants, content tools, and LLM integrations inside your own product.
Learn moreAI Chatbot Development
Support, sales, and knowledge-base chatbots with CRM integration and human handoff.
Learn moreBusiness Intelligence Automation
Reporting, dashboards, and decision workflows automated across your existing data.
Learn more
Product & Software Development
From first MVP to a scaled platform, built by one team across the whole stack.
MVP Development
Ship a usable first version in weeks, built to be extended rather than thrown away.
Learn moreAI MVP Development
Validate an AI product idea with a working, evaluated MVP instead of a demo.
Learn moreSaaS Development
Multi-tenant SaaS platforms with billing, roles, onboarding, and usage analytics.
Learn moreCustom Software Development
Internal tools, dashboards, portals, and enterprise workflow systems built to fit.
Learn moreWeb Application Development
Frontend, backend, APIs, and cloud-ready architecture for production web apps.
Learn moreMobile App Development
iOS, Android, Flutter, React Native, BLE-connected, and AI-powered mobile apps.
Learn moreE-commerce Development
Stores, marketplaces, headless commerce, payments, and conversion-focused checkout.
Learn more
Platform & Growth
The infrastructure and go-to-market work that keeps a shipped product growing.
DevOps Services
CI/CD, cloud infrastructure, Kubernetes, monitoring, and production reliability.
Learn moreDigital Growth & AI Ad Creation
SEO, ASO, analytics, CRO, and AI-assisted ad creative production.
Learn moreEngagement Models & Flexible Teams
Staff augmentation, dedicated teams, fixed-scope delivery, and project takeover.
Learn more
Industry Solutions
Domain-specific builds where the workflows, compliance and integrations differ enough to need their own approach.
Healthcare
Patient portals, telemedicine, clinic operations, records integration, and remote monitoring.
Learn moreAura Clinic Platform
AI-powered clinic management: bookings, records, staff roles, and multi-location operations.
Learn moreE-commerce & Retail
Catalogs, inventory, payments, POS integration, and omnichannel commerce analytics.
Learn moreEducation & EdTech
Learning management systems, virtual classrooms, and AI-powered learning tools.
Learn moreReal Estate & PropTech
Listings, property operations, resident workflows, inspections, and online payments.
Learn moreAutomotive & Logistics
Fleet operations, shipment tracking, dispatch, route planning, and logistics analytics.
Learn moreGaming & Entertainment
Mobile games, tournaments, monetisation, game backends, and live operations.
Learn more
Frequently asked questions
- Which service should I start with if I only have an idea?
- Start with MVP development. It scopes the smallest usable version of the product, gets it in front of real users, and produces a codebase that later work builds on rather than replaces.
- Can Techparser take over an existing project?
- Yes. Techparser audits the existing codebase and infrastructure, stabilizes what is in production, documents it, and then continues development. This is covered under engagement models and flexible teams.
- Do you work with startups or only larger companies?
- Both. Techparser works with founders building a first MVP, scaleups extending an existing platform, and enterprise teams adding capacity or modernizing legacy systems.
- How are engagements structured?
- Engagements run as fixed-scope delivery, dedicated product teams, or staff augmentation. The model is chosen based on how well-defined the scope is and how much of the work your own team will carry.
