New: How we build — modern AI tooling, strict guardrails, every line reviewed by a person. Read our engineering practices →New: How we build. AI tooling, strict guardrails, human review. Read more →

Gemini

Scale with Gemini experts

We build multimodal features on Google's Gemini models, blending text, image and structured data with grounding and evaluation for production reliability.

1–2wks
to project kickoff
2–4wks
to first working software
100%
code & IP ownership
6–10yrs
average engineering experience

This is for teams putting Gemini into production, grounded in real data and judged on honest evaluation, not a demo that stalls after the pitch.

Custom Gemini Development Services

We build Gemini solutions that hold up in production, anchored in your data, judged on honest evaluation, and defended against the ways they can fail. We start from the problem, not the technology, then reach for the simplest approach that solves it reliably at scale.

We help you pinpoint where Gemini actually creates value. Where it doesn't. We assess your data, workflows, and goals, then define a focused roadmap with realistic scope, success metrics, and risk.

How we help

We run a short, hands-on discovery, prototype the riskiest assumption early, and give you a straight recommendation on what to build, buy, or skip.

We design and build Gemini solutions around your data and goals, from data preparation and modelling through training, tuning, and deployment, engineered to hold up well beyond the demo.

How we help

We build pipelines that adapt as data and needs change, with clear standards, versioning, and built-in observability for the long haul.

We build retrieval-augmented Gemini systems that answer from your own content accurately, chunking, embeddings, and retrieval tuned so responses stay grounded, current, and traceable to sources.

How we help

We design the retrieval and grounding layer with care, evaluate answer quality against real questions, and add citations so users can trust and verify output.

We build Gemini agents that go beyond chat, holding context, using your tools, and completing multi-step tasks with the guardrails and human checkpoints production requires.

How we help

We engineer dependable agent architectures with memory, tool use, and safety layers, and keep humans in the loop where the stakes demand it.

We deploy and run Gemini in production, serving, monitoring, retraining, and rollback so models stay accurate and observable rather than silently degrading over time.

How we help

We automate the path from experiment to production, track drift and quality, and make retraining and rollback routine, versioned operations.

We make Gemini systems trustworthy, evaluation suites, guardrails, and monitoring that catch hallucination, bias, and unsafe output before users do, with metrics you can act upon.

How we help

We build evaluation into the pipeline, add input and output guardrails, and monitor quality continuously so regressions surface early and clearly.

We weave Gemini into your product and workflows. APIs, UX, and data flows designed so the intelligence fits how people actually work and delivers value in context.

How we help

We design the integration around real user workflows, handle latency and failure gracefully, and instrument usage so you can measure genuine impact.

Gemini experts, AI-augmented

These are the AI coding tools our engineers use to ship faster and keep code clean, distinct from the AI systems we design and build for you.

CursorClaude CodeGitHub CopilotCodexWindsurfReplit

We use these tools inside strict guardrails, every line is reviewed by a person. See how we build →

1

Senior Gemini engineers

Senior engineers with deep, hands-on Gemini experience building production systems at scale.

2

Proven across industries

Our Gemini teams have delivered AI work across healthcare, finance, retail, and logistics, bringing domain awareness and hard-won patterns to every engagement.

3

Enterprise-ready delivery

We hold high standards for security, testing, and documentation, and can scale a Gemini team up or down without sacrificing speed or quality.

The Gemini toolset

The Gemini tooling we rely on, grouped by what it does, and chosen deliberately from experience. Pick an area to see what we reach for and why.

We build Gemini on proven models and machine-learning frameworks.

Gemini Pro
Gemini Flash
Vertex AI
AI Studio

We prepare data and features so Gemini systems learn from clean, reliable inputs.

Embeddings
Chunking
BigQuery
Data Pipelines

We ground Gemini in your own data with retrieval and vector search.

Vertex AI Search
pgvector
Elasticsearch
BigQuery

We serve and operate Gemini in production with solid MLOps.

Cloud Run
FastAPI
Docker
GKE

We evaluate Gemini honestly and add guardrails against unsafe or low-quality output.

Vertex Evals
LangSmith
Ragas
Grafana

We orchestrate Gemini workflows and agents with tool use and human oversight.

Genkit
LangChain
Function Calling
Agents

We monitor Gemini in production for drift and quality, with the audit trail governance needs.

Model Monitoring
Safety Filters
Audit Logs
DLP

We integrate Gemini into products through clean APIs and reliable delivery.

REST APIs
Webhooks
Pub/Sub
Streaming
Engagement

How you'd work with us on Gemini

Pick the level of ownership that suits you. We shape the engagement around your goals.

1

Staff augmentation

Add senior Gemini engineers to a team you already have.

2

Dedicated team

A committed Gemini team that runs like your own.

3

Full delivery

Hand over the build and we deliver it end to end.

Explore engagement models

Gemini FAQ

Unsure which stack suits your build?

Tell us what you're building, and we'll help you pick and build with the right stack.

Book a discovery call