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AI AGENCY

We Build The Future

An AI agency for teams past the demo stage. We build the system, ship it to production, and stay on for the part that actually breaks.

Teams we have shipped with

TECHCORPDATAFLOWNEURAICLOUDSYSINNOVEXSYNTHWAVEDIGICORESCALEUP
QUANTUMAICORTEXLABSAETHERNEXAFLOWHYPERGRAPHTENSORIXDEEPCORESYNTHAI
Who we are

Engineers, not consultants

We started in 2021 because too much AI work stopped at the demo. We don't publish papers. We ship systems and then keep them running.

Twenty-odd engineers across four continents. 150 companies have put our work in front of their customers.

Projects Shipped
150+
Client Retention
97%
Countries
12
First Prototype
< 2 weeks
Revenue Generated
$40M+
Monitoring
24/7

Senior people, on your problem

No account managers. You work with the people writing the code.

Dr. Amara Osei

Founder & Chief AI Scientist

Applied research, model architecture, evaluation

Marcus Lindqvist

Head of Engineering

Distributed inference, platform reliability

Priya Raghunathan

Director of AI Strategy

Discovery, ROI modelling, governance

Diego Ferreira

Lead Automation Architect

Agentic workflows, systems integration

Services

What we build

Six things. All of them end up in production.

Your data. Your models. Production-ready. We build for the problem you actually have, not the one that demos well.

  • NLP
  • Computer Vision
  • Deep Learning
  • Generative AI
  • Predictive Models

Portfolio

Work

NeuroChat

$1.2M/yr saved

Support agent that closes 80% of inbound tickets with no human.

  • LLM
  • RAG
  • Zendesk

PredictFlow

43% less error

Demand forecasting across two million SKUs, retrained nightly.

  • XGBoost
  • Kafka
  • Feature store

AutoScale

200 hrs/mo back

Self-tuning workflows that retired a team's manual runbooks.

  • Temporal
  • Agents
  • Python

VisionCore

99.7% accuracy

Inline defect detection, three times faster than manual QC.

  • PyTorch
  • ONNX
  • Edge

DataForge

0 failed loads, 9 mo

Rebuilt a warehouse that failed nightly into one that doesn't.

  • dbt
  • Snowflake
  • Airflow

SynthVoice

180ms latency

Real-time voice synthesis that replaced a phone tree.

  • TTS
  • WebRTC
  • Rust

Our philosophy on building AI

What we believe

AI should make your team faster at the work they already do. If it needs a change programme to be useful, we built the wrong thing.

Process

How the work goes

Five steps. You will know what happens in each one before we start.

  1. 01

    Discovery

    Two weeks in your systems and your data. We tell you what is feasible and what isn't.

  2. 02

    Architecture

    One approach, written down, with the tradeoffs you are accepting made explicit.

  3. 03

    Build

    Weekly demos against real data. You see working software, not status reports.

  4. 04

    Deploy

    Into production behind monitoring, alerting, and a rollback path that has been tested.

  5. 05

    Evolve

    Models drift. We retrain, re-evaluate, and keep the thing honest after launch.

Clients

In their words

Their agent closes 80% of our tickets on its own. We saw the ROI in month one and stopped hiring against the queue.

Sarah ChenCTO, DataFlow

Testimonial 1 of 5: Sarah Chen, CTO at DataFlow

Contact

Let’s buildsomething.

Tell us what you are building. An engineer replies, not a sales rep.

hello@grovector.com
  1. 01An engineer reads your brief and replies within one business day.
  2. 02A 30-minute call to pressure-test the idea and the scope.
  3. 03A written proposal: timeline, named team, fixed price.

The more context you give, the more useful our first reply will be.

One business day, from an engineer.

FAQ

Frequently asked questions

What AI services does GROVECTOR offer?

GROVECTOR offers custom AI development, machine learning engineering, intelligent automation, data engineering, AI integration, and strategic AI consulting. We build production-ready AI systems from concept to deployment.

How long does it take to build a custom AI solution?

We deliver working prototypes within the first 1-2 weeks. Full production deployments typically take 4-12 weeks depending on complexity. We ship incrementally so you see progress from day one.

What industries does GROVECTOR work with?

We work across industries including fintech, healthcare, e-commerce, SaaS, manufacturing, and logistics. Our AI solutions are custom-built for each client's specific data and business requirements.

Does GROVECTOR offer AI consulting?

Yes. We provide strategic AI consulting including readiness assessments, technology selection, ROI analysis, and implementation roadmaps. We help you identify what's worth building and what to skip.

How much does custom AI development cost?

Projects typically range from $10,000 to $100,000+ depending on scope and complexity. We offer flexible engagement models including project-based, retainer, and dedicated team arrangements. Contact us for a custom quote.