Applied AI for ops, support, and product teams
We build retrieval, automation, and agent systems inside your repo. First useful automation lands in 2–3 weeks, full rollout in 8–12. Senior pod, no hand-offs.
What teams get
First useful automation
2-3 weeks
Typical production rollout
8-12 weeks
Delivery model
Senior pod in your repo
Autonomous scoring engine for descriptive and essay responses with personalized feedback loops to improve learner outcomes.
AI assistant that monitors and responds to public reviews across listing platforms to improve response speed and brand consistency.
Medical-grade machine learning pipeline combining CNN and K-Means models, delivered with production handoff for a pharma stakeholder.
Testimonials
Futurebits not only delivered high-quality work but also uplifted the entire team with their positive energy and collaborative spirit. Every design choice reflected deep concern for the end user's experience. I wholeheartedly recommend Futurebits to any team looking for a talented, user-centered design partner.
Gopesh Mittal
Co-Founder Alphaquark
Working with a technology partner is often a headache - requirements keep changing, and communication gaps are common. Futurebits is the only vendor I've worked with where documentation is so strong that nothing gets lost in translation. Their first-principles thinking and deep discussions help clarify evolving needs.
Khushbu Chopda
Founder, Decoding Me
Futurebits is a detail-oriented design company with a strong understanding of the fintech space and provides valuable inputs to projects as needed.
Pratik Ghosh
Founder Alphaquark
Aayush's work was indispensable to our project. He set up organizational systems and delivered strong code across our ML pipeline. His technical depth and collaborative style made him an invaluable part of our research team.
Dr. Rasmus Herlo
Post-Doc at University of Copenhagen
Aayush showed exceptional analytical ability in AI tutoring research. His comparison of human and AI teaching patterns produced valuable insights for educational technology. He combines technical rigor with thoughtful human-AI design.
Dr. Nitin Sawhney
Professor at Aalto University
Working with Futurebits has been seamless. The team is highly responsive, proactive, and practical. They consistently deliver strong solutions across our web design and build needs.
Ajay Menon
Senior Lead TechnoServe / Program Director Greenr
Futurebits delivered exceptional work ahead of schedule, making the entire experience truly seamless. Their adaptability to evolving requirements and collaborative approach greatly contributed to the project's success. A dependable and efficient partner - we sincerely value their contribution.
Vinod Bombale
Portfolio Manager - Global Pricing Innovation
I had a fantastic experience working with Futurebits. From initial consultation to final launch, their team was professional, creative, and incredibly responsive. They transformed my vision into a beautiful, user-friendly website that truly represented my brand.
Anita Rajwade
Artist
Ways to work with us
Pick the smallest one that proves the bet. We'll tell you on the first call which model actually fits.
2 – 4 weeks
A clear, scoped problem. Land one shipped artefact fast.
8 – 12 weeks
A 0-to-1 launch or a meaningful 1-to-10 jump. We embed alongside your team.
Ongoing
Long-running product or platform work. Compounding output, not vendor billable hours.
Not sure which fits? Most teams start with a Sprint and graduate.
Book a callFAQ
Production AI systems for support, operations, and product workflows — including retrieval pipelines, evaluations, guardrails, and observability. We prioritize measurable business outcomes over demos.
Yes — most of our pods do. We pair with your engineers, write code in your repo, and follow your review process. The goal is your team is stronger when we leave.
Most teams see first useful automation in 2-3 weeks. Full production rollouts typically land in 8-12 weeks depending on integrations and governance requirements.
Sprints typically start in the low five figures USD; pods scale with scope and complexity. We share indicative pricing on the first call and a fixed proposal within a week.
No. We pair with your engineers in your repo, follow your review process, and aim to leave your team stronger than we found it.
Still have a question? Ask Futurebits directly.
I lead AI at Futurebits. We build production systems — retrieval, agents, evals — for ops, support, and product teams. The work I'm proudest of: LLM behavior research, AI in healthcare, and applied modelling that actually shipped.
We take engagements where AI clearly pays back. If your problem is better solved another way, we'll tell you on the first call. No theatre.
