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Applied AI for ops, support, and product teams

AI systems for workflows that are ready to be tested.

Retrieval, automation, and agent systems built around real inputs, human review, and observable behavior in production.

What teams get

Quality check
Representative test set
Failure path
Human review and fallback
Delivery
Code in your repository
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Work shipped

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What we've actually shipped

Pattern

AI Assessment Engine

Autonomous scoring engine for descriptive and essay responses with personalized feedback loops to improve learner outcomes.

Pattern

Review Response Assistant

AI assistant that monitors and responds to public reviews across listing platforms to improve response speed and brand consistency.

Pattern

Seizure Detection Pipeline

Medical-grade machine learning pipeline combining CNN and K-Means models, delivered with production handoff for a pharma stakeholder.

Testimonials

What people say about us

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

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

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

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

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

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

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

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

Anita Rajwade

Artist

Ways to work with us

Choose the scope that fits the problem

Start with the smallest useful scope. The first call is for deciding whether that is a sprint, a multi-part build, or ongoing work.

Sprint

Focused scope

One clear problem with a working path that can be reviewed independently.

  • One shipped surface: a flow, a prototype, or an automation
  • A short record of decisions, results, and next steps

Pod

Multi-part build

A launch or product change that needs design and engineering in the same working loop.

  • A named team working in your repository
  • Reviewable releases plus the tests and operating notes they need

Partner

Long-running work

A product or platform with a continuing backlog and a stable internal owner.

  • A consistent team and planning cadence
  • A shared backlog with explicit priorities and cut lines

Bring the blocked path and the constraints. We will help narrow it.

Book a call

FAQ

Questions before starting

What kind of AI projects do you ship?

Production AI systems including chatbots, custom GPTs, knowledge bases, AI agents, content generation, video pipelines, and workflow automation, with evals, guardrails, and observability. We ship what you can measure in prod, not demo-day theatre.

Can you work with our existing engineering team?

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.

How do you estimate an AI engagement?

We review representative inputs, integrations, review requirements, and the cost of failure before proposing a scope. The first release is narrowed around one testable workflow.

What does an AI engagement usually cost?

Price follows a written scope covering the workflow, integrations, review path, and acceptance checks. The first call establishes whether there is enough information to quote.

Still have a question? Ask Futurebits directly.

Aayush Kucheria

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.

- Aayush KucheriaAI Lead, Futurebits. Production AI, evals, applied research.
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Futurebits builds retrieval, agent, and automation systems around real inputs, human review, and observable behavior in production.