From MVP to scale · Since 2008
Software engineering for technology companies — that need to move fast.
We help software companies — from fast-growing startups to established platforms — build fast and scale reliably. Cloud-native architecture, API development, DevOps automation, AI integration. 300+ projects since 2008 — from startup MVPs to B2B portals, marketplaces, and mobile apps.
From MVP to scale
- 01MVP in production8–16 weeks
- 02Cloud-native architecture & APIsBuilt to scale
- 03DevOps automationRelease with confidence
- 04AI features your users noticeSearch, assistants, automation
Built for
Zentiya · BSA Apps · Goodfellows
18 yrs
Building software since 2008
300+
Projects delivered
8–16
Weeks to MVP
32
Countries with clients
01The problem
Technology company challenges we solve
Tech companies face unique pressures—speed, scale, and technical excellence. We address these pain points:
Challenge 01
MVP doesn't scale beyond initial users
You launched fast, but now 1,000 users crash the system. The prototype became production. Database queries take 30 seconds. You need architecture that grows with you—without a full rewrite.
Challenge 02
Technical debt slowing down feature velocity
Every feature takes twice as long. No tests, no docs, spaghetti code. The team is afraid to change anything. We help you refactor incrementally and restore shipping velocity.
Challenge 03
Scaling challenges (performance, infrastructure)
Traffic spikes crash the app. Database can't handle load. Manual scaling is reactive. You need cloud-native infrastructure that auto-scales and stays fast under load.
Challenge 04
Need to move faster than internal team capacity allows
Your team is maxed out. Hiring takes 3–6 months. Competitors are shipping weekly. We provide senior engineers who ramp up quickly and ship on your timeline.
Challenge 05
Talent gaps in specialized areas (AI, DevOps, cloud architecture)
Need AI integration, Kubernetes, or microservices expertise—but can't hire full-time. We fill gaps with specialists who've built these systems in production.
Challenge 06
Legacy code preventing innovation
Monolith from 2015. Can't add features without breaking things. Modern APIs and integrations feel impossible. We modernize gradually—strangler fig pattern—so you keep shipping while we evolve the stack.
02Expertise
Our technology & SaaS expertise
We've built for technology companies since 2008 — early-stage startups, growing SaaS businesses, and established platforms. Agile, DevOps, cloud-native — we build the way modern products ship.
Types of companies we serve
- Early-stage startups (Seed to Series A)
- Growth-stage SaaS (Series B–D)
- Established platforms scaling to enterprise
- Insurtech, fintech, health tech
- Developer tools and API platforms
- Marketplaces and B2B platforms
Development philosophy
- Agile sprints with weekly demos
- DevOps and CI/CD from day one
- Cloud-native, API-first architecture
- Performance engineering built in
- Lean architecture that scales
- Technical debt prevention
03Client voices
What founders say
Founder & CEO
“I had a pleasure of working with LTK Soft and this is one of the most competent, skilled and driven teams I have ever worked with. They took an extremely important and demanding web project and not only completed it—exceeding my expectations—but went the extra mile.”
Patrik Karlsson
Founder & CEO, Goodfellows
CTO
“Transformed our original vision and not only transformed my integration strategy, but helped me understand the implementation process. The LTK Soft team was instrumental in getting our BSA Apps off the ground.”
David Gross
CTO, BSA Apps
Every named testimonial on this site is from a real client. Ask us — we'll connect you directly with them for a reference call.
04Solutions
Solutions we deliver for tech companies
A
MVP Development & Validation
A deployable MVP in 8–16 weeks, or faster for lean validation builds. Lean architecture designed to scale. Market validation with real users—not just demos. You get a deployable MVP, technical foundation, and user feedback loops to iterate.
Business benefit: Validate product-market fit fast. Typical timeline: 8–16 weeks.
B
Product Scaling & Architecture
Microservices migration, performance optimization, cloud infrastructure on AWS, Azure, or Google Cloud. Database scaling strategies—read replicas, sharding, caching. You get more capacity without a full rewrite, faster response times, and auto-scaling infrastructure.
Business benefit: Handle traffic spikes, support enterprise customers. Typical timeline: 12–24 weeks.
C
Feature Velocity Acceleration
Dedicated development teams, CI/CD automation, technical debt reduction. Automated testing (unit, integration, E2E). You get faster feature shipping, fewer bugs, and predictable delivery.
Business benefit: Ship weekly releases. Compete with larger teams. Typical: 6–12 months engagement.
D
AI & Automation Integration
Add AI features to existing products. LLM integration (ChatGPT, Claude in your product). Workflow automation, recommendations, semantic search. You get AI-powered differentiation, user productivity gains, and competitive edge.
Business benefit: Launch AI features without building ML team. Typical timeline: 6–12 weeks.
E
DevOps & Infrastructure Excellence
Kubernetes orchestration, Infrastructure as Code (Terraform, CloudFormation), monitoring and observability. Zero-downtime deployments, auto-scaling, cost optimization. You get higher uptime, faster deployments, reduced ops costs.
Business benefit: Reliable production, predictable costs. Typical: 8–12 weeks setup.
05Why us
Why technology companies choose us
We speak your language
Deep technical expertise—not just outsourced developers. Senior engineers who've built SaaS products before. We understand product-market fit, not just feature lists.
Speed + quality
Rapid delivery without technical debt. AI-assisted development where appropriate. Agile sprints with weekly demos. We ship fast and build to last.
Flexible engagement models
Staff augmentation (fill talent gaps), dedicated product teams, fixed-scope projects, CTO-as-a-Service consulting. We adapt to how you work.
Cloud-native expertise
AWS Partner Network member. Modern stack (React, Node.js, Python, serverless). Microservices and API-first architecture. We build for scale from day one.
Scale without rewrites
Architecture that grows with you. Performance engineering from day one. No "throw away and rebuild" surprises. Lean foundation that expands.
06Products
Products we've helped launch & grow
B2B IT Services · Support portal
Goodfellows
Ticketing, live status, and invoicing in one portal
Java/Spring, AngularJS, MySQL
Read the case study →Marketplace · Platform rebuild
TelecomSubs
Expanded from the US into Canada; one sign-up for four sites
Java/Spring, Hibernate, MySQL
Group savings · Advisor platform
BSA Apps
17 cost-reduction programs, savings estimates, generated agreements, and CRM integration in one portal
Java/Spring, MongoDB, AngularJS
Read the case study →Retail SaaS · Built end to end
Zentiya
POS, inventory, accounting, AI marketing, and WhatsApp commerce — live in 8 countries
Cloud SaaS, AI, integrations
Read the case study →Music Streaming · Web & mobile
Lookeet
Streaming, album sales, charts, and band booking
Web & mobile apps
E-commerce · Marketplace
SKADCO
Multi-seller stores with recurring subscriptions and FedEx/UPS delivery
Java/Spring, Hibernate, MySQL
Mobile App · Concept to launch
mCard
Digital business cards with contact updates pushed to every holder
Mobile & web
07Technology
Technology stack & capabilities
Frontend
React, Next.js, Vue.js. Mobile: React Native, Flutter. Modern UI/UX patterns, responsive design.
Backend
Node.js, Python, Go. RESTful & GraphQL APIs. Microservices architecture.
Cloud & Infrastructure
AWS, Microsoft Azure, Google Cloud. Docker, Kubernetes. Terraform. Serverless.
Data & AI
PostgreSQL, MongoDB, Redis. Data pipelines & ETL. OpenAI, Anthropic integration. Vector databases (embeddings, RAG).
DevOps & Quality
GitHub Actions, GitLab CI/CD. Automated testing (Jest, Pytest, Cypress). Monitoring (CloudWatch, DataDog, Sentry).
08Stack choices
How we choose your tech stack
We don't force our preferred stack. We choose based on your goals:
For MVP speed
- Next.js + Vercel (deploy in hours, not days)
- Supabase or Firebase (instant backend)
- Tailwind CSS (rapid UI development)
For scale & performance
- Node.js or Go (high concurrency)
- PostgreSQL (relational data integrity)
- Redis (caching layer)
- Kubernetes (container orchestration)
For cost optimization
- Serverless (pay per use, not per server)
- Static hosting (CDN-cached, fast & low-cost)
- Managed services (reduce DevOps overhead)
For team handoff
- Popular frameworks (easy to hire for)
- TypeScript (type safety, easier maintenance)
- Comprehensive documentation
09Engagement
Typical engagement models for tech companies
Model A
MVP Development
- Timeline: 8–16 weeks
- Investment: Fixed price, quoted after discovery
- Outcome: Market-ready product, user validation
Model B
Dedicated Product Team
- Team: 3–6 engineers (frontend, backend, DevOps)
- Duration: 6–12 months
- Investment: Monthly, based on team size
- Outcome: Sustained feature velocity, technical leadership
Model C
Technical Rescue / Scaling
- Timeline: 12–24 weeks
- Investment: Fixed price per phase
- Outcome: Rebuilt architecture, faster performance, lower running costs
10FAQ
FAQ for technology companies
Typically 2 weeks. We've delivered 300+ projects since 2008, so onboarding is routine for us.
Yes. React, Node.js, Python, AWS, and most modern stacks. We adapt to your codebase and conventions.
Yes. OpenAI, Anthropic, custom embeddings, RAG. We've built AI features for SaaS products and can integrate into yours.
Staff aug: we fill gaps on your team. Dedicated team: we own a product area or roadmap. We recommend based on your needs.
8–16 weeks for a deployable MVP. Depends on scope—we can do 4–12 weeks for lean validation.
Yes. We're ISO 27001:2022 certified, sign NDAs and data processing agreements, and can complete your vendor security review before work begins.
Yes. Performance tuning, database scaling, microservices where they make sense, and cloud optimization.
Yes. Ask us and we'll arrange a reference call with a founder or CTO we've worked with.
Ready to build or scale your product?
Schedule a product strategy call. We'll discuss your vision, technical feasibility, and how we can help—no sales pitch, just engineering expertise.