Transparent engineering pricing.
Estimate your software project based on real engineering effort, infrastructure complexity, scalability requirements, and delivery scope. No guesswork. No surprises.
Engineered for every stage of growth.
From validation to enterprise scale — structured pricing that maps to real engineering effort.
Startup
Rapid validation for founders who need to move fast without sacrificing architecture quality.
- Rapid MVP engineering (4–8 week delivery)
- Modern web/mobile stack
- AI-assisted accelerated development
- Foundational scalable architecture
- Cloud deployment support
- Milestone-based execution
- 1 revision cycle included
Every dollar you invest goes toward shipping software, not managing layers of account managers.
Start Building →Business
Scalable production systems with reliability, real-time capabilities, and structured engineering governance.
- Scalable backend architecture
- Real-time systems & WebSockets
- Third-party API integrations
- DevOps & cloud infrastructure (AWS/GCP)
- Security-first engineering
- Team collaboration workflows
- QA & automated testing pipeline
- 2 revision cycles included
- Architecture documentation
At this tier, you're getting a senior engineering team — not a junior team managed by a senior.
Schedule Your Architecture Call →Enterprise
Mission-critical platforms, AI infrastructure, and cloud-native systems requiring dedicated engineering teams.
- Enterprise-grade architecture design
- Dedicated engineering teams
- Custom AI infrastructure & LLM systems
- Multi-cloud deployment strategy
- Security & compliance workflows (SOC2 ready)
- Long-term engineering partnership
- Advanced scalability & capacity planning
- 24/7 monitoring setup
- SLA-based delivery commitment
- Quarterly architecture reviews
Priced after understanding your actual system — never before.
Start the Enterprise Conversation →"Software is getting cheaper to build. Engineering judgment is not. That's what you're paying for."
All plans include a free 30-minute architecture discovery call before project kickoff.
AI writes code. Engineers make it work.
The software development landscape has shifted. AI tools can generate boilerplate in seconds. What they cannot do: architect systems that scale, anticipate edge cases, plan for security, or take accountability when something breaks.
What AI handles for us
- Boilerplate and repetitive code generation
- Test case scaffolding and documentation
- UI component generation from design specs
- Code review suggestions and linting
- API stub generation and mock data
"Result: We deliver 30–40% faster than traditional agencies — without inflating headcount."
What engineers handle
- System architecture and technical decision-making
- Security design and threat modeling
- Scalability planning and database design
- Code review and quality sign-off
- Client communication and scope management
- Accountability for outcomes
"You don't pay for AI output. You pay for the engineer who knows when not to use it."
30–40%
faster delivery vs traditional agencies
100%
human sign-off on all production code
0
lines of unreviewed AI code in your codebase
Small team. No dead weight.
Full accountability.
A 100-person agency assigns your project to a junior team while senior staff sell the next deal. At HeisenCore, the person who scopes your project is the person who builds it.
Large Traditional Agency
100+ people
- Avg. delivery: 90–120 days
- Your team: Junior devs + 1 account manager
- Communication: Via account manager (no direct access)
- Revisions: Formal change requests, billed separately
- Overhead: 60–70% of fees = management and sales cost
- Risk: Senior talent on next sales pitch, not your project
You're a line item in their revenue model.
HeisenCore
Senior engineers. Direct access.
- Avg. delivery: 45–70 days
- Your team: IIT/NIT-educated senior engineers
- Communication: Direct access to team lead, always
- Revisions: Collaborative, within milestone scope
- Overhead: 90%+ fees go toward actual engineering
- Tracking: Live project dashboard, real-time visibility
You grow. We grow. That's the only model that works.
Freelancer Marketplace
Variable. Unpredictable.
- Cost: $10–$40/hr (India), $50–$150/hr (US/EU)
- Availability: Juggling 3–5 clients simultaneously
- Architecture: Rarely their concern
- QA: Usually none — shipped as-is
- Continuity: Project pauses if they go silent
- Accountability: "Platform disputes" if things go wrong
Fast for a feature. Risky for a product.
"Money comes when you trust us. You grow, we grow. That's not a tagline — it's the only business model we know how to run."
— HeisenCore Engineering Team
What software development actually costs — worldwide.
We mapped what teams globally charge for comparable work. Then we mapped what they typically deliver. The gap is instructive.
| Region / Type | Hourly Rate | Avg. Project Cost | Delivery Speed | Direct Access | QA Included | Arch. Review | Risk Level |
|---|---|---|---|---|---|---|---|
| US Enterprise Agency (100+ staff) | $150–$300/hr | $50k–$500k | 4–9 months | No | Yes | Yes | Low (expensive) |
| UK / Western Europe Agency | $80–$150/hr | $25k–$200k | 3–6 months | Sometimes | Yes | Yes | Low–Medium |
| Eastern Europe Agency | $45–$80/hr | $15k–$80k | 2–5 months | Sometimes | Partial | Partial | Medium |
| Indian Large Agency (Infosys-tier) | $25–$50/hr | $10k–$100k | 3–6 months | No | Yes | Partial | Medium |
| Upwork Freelancer (India) | $10–$35/hr | $500–$15k | Depends | Yes | Rarely | No | High |
| Upwork Freelancer (US/EU) | $50–$150/hr | $5k–$50k | Depends | Yes | Rarely | No | High |
| ⭐ HeisenCore | Milestone-based | $1k–$50k+ | 45–70 days | Yes — Direct | Yes | Yes | Low |
What most providers skip. What we don't.
Commonly missing in other providers
- Direct communication with your actual developer
- IIT/NIT-level engineering education
- Architecture review before writing line one of code
- Live project tracking dashboard
- QA pipeline (not just "test before deploy")
- Milestone-based billing (pay for outcomes, not hours)
- Post-delivery support included
- Honest uncertainty — we say "we don't know" when we don't
- Human review of every estimate before proposal delivery
Standard at HeisenCore
- Direct Slack/WhatsApp with team lead — always
- Engineers from IIT, NIT, and top-tier Indian CS programs
- Architecture consultation before project kickoff
- Real-time project board shared with you from day one
- Automated + manual QA on every milestone
- You pay when software is delivered, not when time passes
- 30-day post-launch support on all plans
- Uncertainty warning system built into our estimator
- Senior engineer reviews every estimate — never automated
"Pricing in software is not just about the hourly rate. It's about what happens when something goes wrong at 2am before your investor demo. That's when you find out who you actually hired."
How we calculate engineering
investment.
Answer a few structured questions. Our engine maps your requirements to real engineering hours, team size, and delivery timelines — then a human engineer reviews the output.
What industry are you building for?
This helps us apply domain-specific compliance and architecture patterns.
Live estimate
Builds as you answer
Estimated investment
—
Answer requirements on the left. Your range appears here and only moves up as scope becomes clearer.
Algorithmically generated · Human-reviewed before delivery
How we calculate engineering effort.
Estimation is an engineering discipline. Not guesswork.
Architecture Complexity
System design decisions — microservices vs monolith, real-time vs async — have outsized impact on total engineering effort.
Feature Scope
Each feature is broken into atomic engineering tasks, each assigned effort points based on our historical delivery data.
Scalability Requirements
Building for 1,000 users vs 1,000,000 users requires fundamentally different infrastructure decisions from day one.
Infrastructure Planning
Cloud architecture, CDN strategy, database design, and DevOps pipelines contribute to both cost and delivery timeline.
Security Considerations
Authentication complexity, data compliance (HIPAA, SOC2, GDPR), and penetration testing requirements add measurable effort.
QA & Testing Effort
Automated test coverage, E2E testing suites, and QA cycles are calculated as a function of feature complexity — not an afterthought.
AI Integration Complexity
LLM orchestration, RAG pipelines, vector databases, and agent workflows introduce unique engineering and infrastructure cost structures.
"Every estimate generated here is subsequently reviewed by a senior human engineer before a final proposal is delivered. We don't send automated quotes."
— STANDARD PRACTICE AT HEISENCORE
What's included at each tier.
| Feature | Startup | ★ Most ChosenBusiness | Enterprise |
|---|---|---|---|
| Team size | 1 dev | 2–3 devs | 4+ devs + architect |
| Delivery timeline | 4–8 wks | 8–16 wks | Custom |
| Architecture consult | (30 min) | (full) | (dedicated) |
| DevOps setup | Basic | Full CI/CD | GitOps + monitoring |
| AI integration | Basic | Advanced | Custom AI infra |
| Scalability planning | Foundation | Production-ready | Enterprise-grade |
| Security review | Basic | Standard | Compliance-grade |
| Real-time monitoring | Setup + alerts | Dedicated dashboard | |
| Revision cycles | 1 | 2 | Unlimited (within scope) |
| Dedicated support | Priority email + calls | Dedicated channel | |
| SLA commitment | Best effort | Written SLA | |
| Long-term partnership | Optional | Included |
Frequently asked questions.
Ready to architect your
next system?
From MVPs to enterprise infrastructure — engineered with precision, scalability, and operational reliability. Our process begins with a conversation, not a contract.
40+
Engineering teams served
94%
On-time delivery rate
$0
Architecture consultation
No commitment required. No sales pressure. Just engineering clarity.