Gemini Software Development Services
Looking to hire Gemini developers or outsource your entire AI-powered build? Instinctools delivers end-to-end Gemini software development using Google’s AI products throughout the full software development lifecycle, from requirements and architecture to coding, testing, and deployment. Our senior engineers leverage Gemini Code Assist, Antigravity, Gemini Enterprise Agent Platform, and more to accelerate delivery while maintaining enterprise-grade quality, security, and scalability.
Why we choose Google AI for production builds
While Google’s AI product ecosystem isn’t the only environment where we practice AI-assisted engineering, it consistently proves to be one of the strongest choices for building production-grade software.
Deploy production-ready AI on Google’s resilient infrastructure
Certified to
the highest
ISO standards
the highest
ISO standards
ISO 27001
Data Security
ISO 9001
Quality Management
ISO 37001
Anti-bribery
ISO 45001
Health & Safety
ISO 14001
Environmental Care
Expert-led Gemini software development services
Good ol’ engineering mastery, refined over nearly three decades, multiplied by capabilities of Google’s elite AI developer stack – this is the sauce of our custom Gemini development.
Rapid
prototyping
Don’t spend months debating whether an idea will work when you can put it into users’ hands in days. A lean engineering team, or even a single lead engineer, can build a fully functional, interactive prototype in a fraction of the time traditional development takes. Through Instinctools’ rapid validation process, you can test hypotheses with stakeholders and end users, gather real data on model performance, latency, and costs, and secure executive buy-in before committing to full-scale development. Better yet, the prototype isn’t a throwaway asset. It evolves from a sandbox into production-ready software, scaling to enterprise infrastructure without requiring a complete rebuild or costly re-architecture.
Full-scale AI-assisted
development
The biggest productivity gains come from experienced engineers working with AI, not replacing them. Using Gemini throughout the software development lifecycle, our teams accelerate architecture design, implementation, testing, debugging, documentation, and code reviews while maintaining high engineering standards. The result is shorter delivery cycles, lower development costs, and consistently high-quality software that remains maintainable long after release.
Vibe coding audit
and cleanup
Built something fast in Google AI Studio? Great. Now let’s make it production-grade. Our senior engineers perform rigorous technical audits on codebases generated via Google AI Studio. We untangle messy dependencies, enforce strict typing, patch security vulnerabilities, and rewrite fragile logic. Then we push it to Cloud Run with CI/CD, monitoring, and cost guardrails. Basically, we clean up the mess so you don’t have to. Your rapid experiments are turned into enterprise-ready software that your team can maintain effortlessly.
Integrations and
API development
Connect anything to anything. We use Gemini to auto-generate OpenAPI specs, map complex payloads, and build secure Apigee proxies. Legacy mainframe to Cloud Run microservice? Done. Third-party SaaS to your data lake? Handled. We automate the tedious parts like contract generation, dependency mapping, test suites, so your integrations deploy fast and stay reliable under load.
Wraparound
MLOps services
for your Google AI
solution
Sustaining an intelligent solution post-handoff requires continuous operational engineering. As a part of our MLOps consulting practice, we embed automated evaluation gates to halt performance drift, apply precise model and prompt tuning to capture shifting usage patterns, and enforce strict cost optimization guardrails, in short, do everything to keep your Google AI solutions stable, optimized, and financially predictable as your business grows.
Legacy
modernization
Modernize monolithic legacy software safely with our experienced engineers armed with Gemini Code Assist. We dramatically accelerate deep code discovery, reverse engineering, refactoring, and automated test suite creation. By combining Google AI’s rapid analysis capabilities with three decades of proven engineering practices, our developers de-risk complex platform migrations, shrink delivery timelines, and ensure predictable, bug-free modernization without disrupting ongoing business operations.
Put experienced Gemini software developers on your project
Your business need
comes first.
AI is just one of the tools
comes first.
AI is just one of the tools
Building
production-ready solutions powered
by Google AI
From enhancing existing products with intelligent features to building full-fledged systems from the ground up, we design and develop solutions tailored to your operational reality, combining deep software engineering expertise with Google AI capabilities.
Digital products and enterprise applications
After assessing your business goals and technical requirements, we begin with rapid logic prototyping in Google AI Studio, then leverage Antigravity agents to implement the application’s core architecture and functionality. We deliver robust software for enterprise, customer-facing apps, or hybrid environments in a fraction of the traditional development timeframe. Our engineering team addresses security vulnerabilities, ensures compliance, and hardens the application for enterprise-scale workloads.
Mobile apps
Whether modernizing legacy environments or building next-generation mobile experiences, we ensure seamless continuity and high performance across iOS and Android. To prevent pipeline disruptions following the upcoming Firebase Studio sunset, we specialize in transitioning your active developer workspaces into Google AI Studio and Google Antigravity platforms.
AI-powered features
With streamlined integration via the Gemini API and Chrome’s Built-in AI APIs for web applications, we integrate production-ready intelligence directly into your existing applications without requiring a full system overhaul:
- High-fidelity image generation, image editing, and dynamic video creation from text or visual prompts
- Low-latency, bidirectional voice interfaces and conversational agents
- Deep comprehension and data extraction across mixed-format documents, unstructured text, audio, and visual assets
Grounded AI assistants
Enterprise AI is only as reliable as the information it can access. We build grounded assistants that retrieve verified knowledge from your internal documentation, knowledge bases, business systems, and structured data before generating responses. The result is AI that answers with current, organization-specific information instead of relying solely on model memory.
- Knowledge copilots for employees
Customer support assistants
- Policy and compliance assistants
- Enterprise document intelligence
Multi-agent workflows
Using Google’s Gemini Enterprise Agent Platform, we build, scale, govern, and optimize multi-agent systems where specialized sub-agents reason, plan, execute API calls, and collaborate across enterprise boundaries. All agentic deployments done by Instinctools Gemini AI developer company are hardened with fine-grained IAM controls, execution boundary limits, and audit logging to ensure total predictability and enterprise compliance.
On-device AI
Not every AI workload belongs in the cloud. Leveraging Google AI Edge, the end-to-end stack for building and deploying on-device AI/ML, we build edge AI applications that run directly on mobile devices and embedded hardware, enabling near-zero latency, offline operation, and greater control over sensitive data. From smartphones and industrial handhelds to Raspberry Pi and NVIDIA Jetson devices, we deploy optimized models that bring intelligence exactly where it’s needed.
Share your vision and watch it come to life
Featured success
stories
Security by design. Governance by default.
Building AI is only half the challenge. We help you operate it securely at scale through Google’s enterprise AI capabilities, implementing governance, observability, evaluation, prompt management, agent identity, fine-tuning, and Model Armor protections that keep AI systems reliable, auditable, and aligned with your business policies.
Scale your products with confidence
What our
clients say
clients say
The expectations for the quality of the initial product were very high. I think Instinctools did a great job ensuring those expectations are met. We met the developers we were going to be working with and it quickly became apparent that they are very qualified and were able to deliver the vision that we had from our side for the product. They clearly told us what they were going to do, and if there were questions or problems along the way, they clarified them really quickly thanks to transparent communication.
We had a tight delivery deadline and *instinctools has been able to find another developer and assign him to our project from one day to another. And we’ve been able to successfully deliver this project. When the partner is good, things are just getting done. And that was the case with *instinctools.
We genuinely had a very positive experience working with the Instinctools team. They were responsive, collaborative, adaptable, and highly supportive throughout the project. Even as the scope evolved and the technical complexity increased, they remained committed and solution-oriented. Overall, we were very satisfied with the collaboration and the quality of work delivered; and frankly speaking, we find them to be the dream team!!
The quality has been good. It’s been on the expected level: things come on time, we have a good visibility on the things that *instinctools developers are doing and performing for us, communication is good. Wherever we see that we need some more extra resources, we have found *instinctools to be a good partner in helping us out on those areas.
I’ve been impressed by the available skillset, the flexibility to ramp up resources quickly, and the scalability to extend development teams on short notice. I look forward to continue collaboration with *instinctools and their contribution to our projects.
People at *instinctools are quite tech heads, which I like. They have used very advanced libraries, advanced techniques, advanced coding paradigms. So the advantage is that we get reusable code, that we get well-testable code, we get well-maintained code.
The *instinctools team exhibits the flexibility and professionality required for young companies. You can rely on their tested structures and processes that integrate nicely with your internal workflows. Being able to grow your team quickly with experienced professionals that start delivering value immediately and without a long interview process is a huge help. And personally, you will be working with a team of kind and interesting people.
The team is dependable when it comes to managing time and finances, consistently staying within the designated budget. We’re pleased with *instinctools. Their business analysts are exceptional. They serve as the spokespeople between technology and business, representing both sides effectively.
Instinctools is good at understanding the technical issues – once an issue is outlined, they do not need repeated explanation. They also do not simply accept a proposed solution, but they think about it and propose a better solution. I was really impressed by the custom interface they built for us – we outlined the requirements, and they implemented them in a user-friendly way that makes the interface a pleasure to use.
Instinctools does deliver on time and budget. The company proactively asks how they can support our efforts and provide ideas how to help us with very good candidates with expertise that either we requested or that instinctools identified to be missing.
The team demonstrated effective project management, timely delivery, and responsiveness to our needs. They established open communication to facilitate ongoing dialogue and held regular sprint meetings to keep stakeholders informed and engaged throughout the development process.
Instinctools delivered everything on time and was very flexible towards changes in scope during the project work. The team was easy to work with and had a quick response time.
Instinctools will make your objectives their sole focus, and have a team of professionals that will abstract away all the operational parts of the partnership to allow you to focus on your business. What made them a great partner was their capacity to proactively find the right fit and solutions based on the particularities of our needs.
Enterprise-grade
AI control from prototype to production
Building AI that is secure, observable, and ready for enterprise use takes a structured delivery approach. Our Google AI development framework moves from rapid validation to production deployment while embedding governance at every stage.
01
Assessing and planning
- Evaluating data estate and AI maturity
- Solution architecture planning
- Selecting the right Google AI tools
- Defining success metrics, constraints, and risk appetite
02
Prototyping
and validating
and validating
- Rapid experimentation in Google AI Studio
- Spec-driven development with Gemini
- Technical feasibility assessment
03
Integrating
data and tools
data and tools
- Enterprise data connectivity
- RAG and knowledge integration
- Agent orchestration
04
Securing and governing
AI behavior
AI behavior
- Model Armor configuration
- Agent identity and access management
- Prompt governance
- Observability and evaluation pipelines
05
Evaluating and
optimizing performance
optimizing performance
- Model quality evaluation
- Prompt and workflow refinement
- Performance and latency optimization
- Cost optimization
06
Scaling in production
- Production deployment
- Auto-scaling and resilience
- Continuous monitoring and improvement
Let’s map the fastest and safest path to production for your Google AI initiative
Engineering fluency, native to the Google AI stack
Tools
Google AI Studio
Gemini Enterprise Agent Platform
Gemini API
Google Antigravity
Models
Gemini
Gemini Omni
Nano Banana
Gemma
Lyria
AI-assisted coding
Google Antigravity CLI
Colab
Jules
Gemini Code Assist
Android Studio
Chrome DevTools
Apigee
We build custom AI agents that never lose context, respond on the spot, and operate across data-ownership boundaries in multi-vendor architectures. How?
- 01 Field-proven methodology
- 02 Well-thought-out agentic orchestration
- 03 Built-in AI governance and compliance
- 04 Cross-platform integration
- 05 High-fidelity data preparation
- 06 Goal-oriented context engineering
Proprietary agentic solution accelerator
GENiE
Anyone can prompt Gemini. We make its output production-ready
Google Gemini lowers the barrier to building software. It doesn’t, however, lower the enterprise bar. Production systems still demand thoughtful architecture, governance, security, and software engineering discipline. That’s the value we bring to every engineering initiative.
White-box AI
Build with confidence using AI-assisted engineering that stays transparent from start to finish. Every decision, generated artifact, and implementation step is traceable and explainable, making governance, compliance, and enterprise adoption a breeze.
Efficient and secure delivery model for AI-engineered solutions
Faster delivery doesn’t mean lower standards. Our AI-assisted development framework combines automation with engineering best practices, embedding security controls, quality gates, human oversight, and governance into every phase of software delivery.
AI Center of Excellence
Instinctools’ dedicated AI CoE brings together 30+ AI engineers, architects, researchers, and consultants, continuously refining our AI-assisted engineering practices, evaluating emerging tools, and delivering reliable, enterprise-ready AI solutions at scale.
Tech stack
& ample
experience
& ample
experience
Languages
Gen AI platforms
Frameworks
Debugging & Tracing
Vector Databases
DBMS
Data Visualization
FAQ
What is AI coding with Google Gemini?
AI coding with Google Gemini is the practice of using Gemini to assist throughout the software development lifecycle. It helps engineers generate code, explain complex logic, review and refactor code, write tests, create documentation, and automate repetitive development tasks, while developers remain responsible for architecture, quality, and final implementation.
Which Gemini model should we use for development?
Which Gemini model to use for development depends on your specific use case. Different models are optimized for coding, reasoning, multimodal tasks, speed, or cost efficiency. We evaluate your technical requirements, performance goals, and budget to select the model that delivers the best results for your application.
Gemini vs ChatGPT for software development — which to choose?
When it comes to Gemini vs ChatGPT for software development, the right choice depends on your goals and technology stack. Both are capable development assistants, but Gemini offers particularly strong integration with Google's ecosystem, including Gemini Enterprise Agent Platform, Google Cloud, Workspace, and enterprise development tools. We help you evaluate the trade-offs and choose the platform that best fits your architecture, security, and business requirements.
How do you use Gemini throughout the software development lifecycle?
Using Gemini throughout the SDLC allows us to accelerate every phase of software delivery. We apply it to requirements analysis, solution design, prototyping, implementation, testing, documentation, and optimization, with our engineers overseeing architecture, quality, and governance at every step.
What Google dev tools do you use (Gemini Code Assist, Antigravity, Jules)?
We are fluent across the entire Google AI developer stack. Our engineers actively work with Google Antigravity for agentic IDE workflows, Jules for asynchronous repository tasks and background PR generation, and Gemini Code Assist for enterprise code generation and model integration. We select the exact tool combination that fits your stack and compliance requirements.
Is our code and data safe with Gemini and who owns the IP?
Your code, data, and intellectual property remain under your ownership. Data processed through Gemini or other Google AI products is not used to train Google’s foundation models, and we design solutions with enterprise-grade security, access controls, and governance to help protect your information throughout the development lifecycle.
Can you build a custom Gemini app or integrate Gemini into our product?
Yes. We specialize in both greenfield Gemini application development and seamless integration into existing software ecosystems. Instinctools’ team handles everything from solution architecture and development to integration, security, and production deployment.
Can I hire dedicated Gemini developers?
Yes, absolutely. You can hire dedicated Google Gemini developers or assemble a cross-functional team tailored to your project. Whether you need to augment your existing engineering team or outsource development end-to-end, we provide the expertise required to build, integrate, and scale AI-powered solutions.
Do you offer a PoC before full engagement?
Yes. In fact, we usually recommend starting with a rapid prototype. It allows us to validate the technical feasibility of your idea, assess its business value, and identify potential risks before committing to full-scale development. If the results are promising, we build on that foundation and evolve the PoC into a production-ready solution.
