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RESTful API
design & development
in Berkeley
API development for Berkeley tech companies. RESTful and GraphQL APIs built for research platforms, biotech tools, and data-intensive applications.
Berkeley API Services
REST & GraphQL
Research Integration
Challenges we solve
Not just perform.
Built to connect, extend, and adapt.
Our development team crafts custom APIs as evolving interfaces — aligning with your product logic, structuring data flow, and creating a resilient backbone that grows with your system.
Too many steps, too much friction.
API-driven triggers enhancing automation - no workarounds.
Disconnected systems cause conflicting data.
Shared endpoints keep everything aligned.
Stale data leads to bad decisions.
Real-time fetch, push, and sync keep systems updated instantly.
Deploying changes feels risky.
Versioned APIs make you upgrade safely and confidently.
Who we work with
Startups
Ship a usable backend — not just a mockup. Real endpoints, real logic, real users.
- Ready in 4–6 weeks
- Clean contract, fast pivoting
- Built to prove, and then scale
Launch API-first MVP
Small businesses
Replace scattered tools with a tailored service that automates tasks and manages data.
- Clear structure, no clutter
- Admin flows, no extra code
- Flexible logic that fits your ops
Streamline your stack
Corporations
APIs that support large user volumes, handle complex logic, and scale safely.
- Designed for high complexity
- Traceable processes, stable sync
- Built-in checks for every change
Start enterprise build
What powers real APIs
Input becomes behavior
Each request hits a defined path — mapped, filtered, and shaped before it runs.
Schema-first logic
Flow mapping
Access with structure
Not just who can see it — but what happens next. Rules shape response, not just layout.
Role logic
State-aware routing
Up-to-date without polling
Systems push updates as they happen. The UI just knows — no refresh required.
Reactive sync
Event listeners
Built to handle tomorrow
Add new logic, not new risks. Updates land cleanly, without breaking what works.
Decoupled layers
Version resilience
API service pricing
in Berkeley
Every build is different. Final cost reflects logic depth, integrations, sync complexity,
and interface behavior — not just features on a checklist.
Basic interface with key actions and response handling
~ $15,000
Mid-tier API with data sync, routing logic, and flows
~ $25,000
Scalable platform with integrations and failover systems
~ $50,000
*Pricing reflects system complexity, update cycles, and data handling scope.
Get your custom estimate
What our clients say
Angela Thompson
CEO
5
I liked how adaptable the team was. Even when we changed direction halfway, they stayed calm and helped us re-prioritize without losing momentum.
Ravi Kumar
Business Analyst
5
The final product matched our vision perfectly. But what stood out most was the openness — everything was discussed upfront, no hidden surprises.
Yuki Tanaka
Marketing Director
5
They care about details. You can tell everything is double-checked before delivery.
Isabella Fernandez
Project Manager
5
Super easy collaboration. Thanks!
More possibilities for your project
We work with a wide range of tasks and formats.
Explore additional solutions that may be a good fit for your project.
Formats
Industries
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High-converting landing page development
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Custom ecommerce website development
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Professional corporate website development
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Custom marketplace platform development
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Custom client portal & dashboard development
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Data aggregator platform development
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Software as a service platform development
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B2B Platform Development
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Custom WordPress website development
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Enterprise Drupal website development
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Laravel web application development
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Technical specification development services
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- Apartment Renovation
- Auto Services
- Marketplaces
- Consulting
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Let's chat
FAQ
Didn’t find what you were looking for? Drop us a line at info@toimi.pro.
What types of APIs do Berkeley businesses need?
Berkeley's research and biotech companies need APIs for lab instrument data ingestion, research database access, mobile app backends, integration layers connecting academic systems with commercial platforms, and public APIs for partner ecosystems. Scientific data APIs with complex query capabilities are a particular Berkeley strength.
How long does API development take?
A standard REST API with CRUD and authentication takes 3-6 weeks. Complex APIs with real-time data streaming, scientific data processing, and developer documentation need 2-4 months. Berkeley companies building platform products typically need phased API rollouts.
What affects API costs?
Endpoint count, authentication complexity, data processing needs, and documentation depth determine pricing. An internal API costs less than a public developer platform with OAuth2 and interactive docs. We quote after understanding your Berkeley company's specific integration requirements.
Can you build APIs for scientific and research data?
Yes — particularly relevant for Berkeley's biotech and research sector. We build APIs handling complex scientific data types, time-series measurements, genomic data, spectral analysis results, and multi-format research outputs. Data validation and unit conversion built into the API layer.
How do you ensure API security?
Token-based authentication, input validation, rate limiting, and request logging on every API. For Berkeley's biotech companies handling PHI or proprietary research, we add encryption, audit trails, and compliance-specific controls.
Do you provide API documentation?
Every API gets OpenAPI/Swagger documentation with interactive endpoints. For public APIs, we build developer portals. Berkeley's technical audience expects excellent documentation — researchers and engineers won't adopt undocumented APIs.
How do you manage development?
API contracts designed collaboratively in OpenAPI specs before coding. Test-driven development in two-week sprints. Staging access for integration testing throughout. Code reviews and automated tests on every commit.
What ongoing support do you offer?
Versioning, uptime monitoring, performance optimization, and security patching. Maintenance retainers with SLA-backed response times. Scaling support as Berkeley companies grow their API usage.
