For established businesses
Modernise, add AI, and ship more — without stopping the business
Your systems carry the business today, so changing them has to be planned. We review what you have, agree a phased plan in writing, and deliver it alongside your team — whether that means modernising a platform, adding AI to real workflows, or extending your engineering capacity.
Where you might be
Where established teams usually bring us in
A core system is slowing you down
Hard to change, costly to run, or dependent on one person. We start with a written architecture review and a phased modernisation plan.
Legacy modernisationYou want AI in real workflows
Document processing, research, support triage, or internal copilots — validated on your data before a larger rollout, with cost controls and human review.
AI product developmentInfrastructure needs to move
On-premise servers, fragile deploys, or no monitoring. We migrate in stages with CI/CD, observability, and rollback plans in place first.
Cloud & DevOpsYour roadmap outgrew your team
Engineers from our Lahore team join your tools, sprints, and code review, with a DanixSoft lead accountable for quality.
Dedicated teamProcesses still run on spreadsheets
Approvals in email and data re-typed between tools. We map the process with the people who run it and automate the highest-value step first.
Process automationYou operate in a regulated sector
Healthcare and finance software designed with HIPAA, GDPR, and PCI-DSS requirements in mind — access control, audit trails, and encryption from the start.
Healthcare software
How we work with you
Phased, documented, and accountable
Large changes succeed when they are broken into releases that each deliver value on their own.
- Written architecture review and phased plan before implementation starts
- Contracts, NDA, and full IP transfer suited to procurement and legal review
- Work inside your repositories, ticketing, and code-review process where you prefer
- CI/CD, automated tests, and monitoring on everything we touch
- An agreed daily overlap window with your team, from Lahore (PKT, UTC+5)
- Runbooks, architecture decision records, and knowledge transfer at every handover
Relevant services
- Architecture & Legacy ModernisationArchitecture audits, phased migration of monoliths, and fractional CTO support for teams that need senior technical judgement.
- AI Product DevelopmentFrom use-case validation to a production AI feature: we check AI is the right tool, prototype quickly, then harden it.
- Cloud & DevOpsCloud migration, containerised deployments, CI/CD pipelines, and monitoring on AWS, GCP, or Azure.
- Dedicated Development TeamSenior engineers from our Lahore team embedded in your roadmap, tools, and review process — scaled up or down as you need.
Questions we hear from established businesses
- How do you modernise without downtime?
- By migrating in phases: new components run alongside the old system, traffic moves over gradually, and every step has a rollback plan. There is no big-bang cut-over.
- How are larger engagements priced?
- Modernisation and multi-system work typically starts around $30,000–$60,000+, often split into phases. Dedicated engineers are priced per engineer per month. Everything is agreed in writing after discovery.
- Can you work with our existing engineering team?
- Yes. We regularly join existing codebases, follow your conventions, and go through your code review. The goal is that your team can own the result.
- Are you certified for HIPAA, SOC 2, or ISO 27001?
- We do not advertise compliance certifications. We design software with frameworks like HIPAA, GDPR, and PCI-DSS in mind — access control, audit logging, encryption, and documentation — to support your own compliance and audit work.
Relevant work
Built for teams like yours
Platforms with multiple roles, integrations, and the operational tooling production needs.
BulkReachMulti-tenant bulk and scheduled messaging for Slack and WhatsApp
Challenge: Teams that announce to many Slack channels or WhatsApp contacts need sends that respect rate limits, survive timeouts, keep each customer's data isolated, and never message people who have not opted in.
Read the case study
OutreachProCold email outreach through your own Gmail or Outlook mailbox
Challenge: Outreach has to be paced, compliant, and deliverable: bulk senders must honour one-click unsubscribes, stay inside mailbox limits, and recover cleanly when a send fails — without a web request doing the sending.
Read the case study
Repo DiveA daily training system for reading production code
Challenge: Developers who want to learn from real-world code have no structured way to do it. Browsing GitHub Trending is easy to skip, and an early version of the product picked repositories at random, so what someone had already studied never changed what came next.
Read the case study
Pricing
What projects typically cost
Typical starting points, not quotes. Final pricing depends on scope and is fixed in writing after a discovery call.
MVP / Launch
from ~$3k
Typically 4–8 weeks
Validating an idea, a first release for early users, or a single focused AI feature.
- Discovery call and written scope
- Core user flows, auth, and an admin view
- Two-week sprints with working demos
- Deployment and 30 days of post-launch support
Product / Growth
~$10k–$30k+
Typically 2–4 months
A production SaaS or web/mobile product with billing, integrations, and dashboards.
- Architecture and data-model specification
- Web and/or mobile clients plus API
- Third-party integrations (payments, CRM, messaging)
- Automated tests, CI/CD, and monitoring
Scale / Enterprise
~$30k–$60k+
Typically 3–6 months, often phased
Legacy modernisation, multi-system platforms, AI transformation, or a dedicated team.
- Architecture review and phased migration plan
- Dedicated engineers working in your cadence
- Security review against an OWASP checklist
- Documentation, runbooks, and knowledge transfer
Ongoing: support & maintenance retainer from $600/month · fractional cto from $2,000/month.
How we work
Five stages, from first call to live system
The same sequence runs on an MVP and on an enterprise platform. Only the length of each stage changes.
01
Discovery Call
A free 30-minute consultation to scope requirements, define success metrics, and estimate timeline and cost.
30 minutes · free
02
Architecture & Design
Database schema, API design, component hierarchy, and infrastructure plan, delivered as a written specification.
Written spec
03
Sprint Development
Two-week sprints with working demos. You see real software every 14 days, not just status reports.
2-week sprints
04
QA & Security Audit
Automated tests, manual testing on real devices, an OWASP security checklist, and performance profiling.
OWASP checklist
05
Deployment & Support
CI/CD pipeline setup, cloud deployment on AWS, GCP or Vercel, monitoring, and a 30-day post-launch support window.
30-day support
Next step
Tell us what needs to change.
A free 30-minute discovery call, then a written scope and a fixed-price quote — before you commit to anything.