4.9★ GoodFirms · 600+ clients

    AI & LLM Development
    That Ships to Production

    Senior engineers who've shipped LLM integrations, RAG pipelines, and AI agents — helping US product teams move fast without breaking prod.

    Only 3 spots available this month·Starts within 1–2 weeks
    1,300+Projects Delivered
    600+Satisfied Clients
    350+In-House Engineers
    4.9★GoodFirms Rating

    ISO 9001 & 27001 certified · NDA on day one · No lock-in contracts

    This Is For You If You're…

    A product team adding AI/LLM features to an existing SaaS

    A founder building an AI-native product from scratch

    An engineering lead who needs a team that's shipped RAG, agents, or fine-tuning before

    A CTO dealing with hallucinations, cost blowouts, or unreliable AI outputs in production

    Not a fit if you want research-only ML or academic model training — we focus on production AI features.

    AI Problems We Solve

    LLM outputs that hallucinate and can't be trusted in production

    Runaway OpenAI/Anthropic API costs with no cost controls

    AI features that demo well but fail at scale

    No RAG or retrieval layer — LLM doesn't know your data

    AI agents that loop, get stuck, or produce nonsense

    No observability into what your LLM is doing in production

    What Clients Say

    4.9★ on GoodFirms · 600+ clients since 2015

    "ByteQuest provided insightful feedback, followed deadlines, and communicated clearly throughout the AI-Powered Predictive Analytics Platform project."

    Fred Lebhart

    Agency Founder & CEO

    efelle creative

    "BYTEQUEST SOFTWARE translated complex design specifications into clean, high-performing, scalable web experiences."

    Micheal Vromans

    Chief Creative Officer

    DPDK Digital Agency

    "ByteQuest Software brought high-level technical expertise and innovation, improving products beyond initial requirements."

    Umaima Ejaz

    Co-Founder

    Your Handle

    How We Ship AI Features

    1

    Free AI technical review

    We audit your current AI stack, prompts, and architecture — and give honest feedback.

    2

    AI roadmap & architecture plan

    Clear plan for RAG, agents, or LLM integration — scoped to your actual product needs.

    3

    Senior engineers with AI production experience

    We've shipped LLM features on OpenAI, Anthropic, Gemini, and open-source models.

    4

    Weekly demos & iteration

    You see working AI features every week, not promises about next quarter.

    5

    Cost controls & observability baked in

    Token budgets, caching, tracing — so your AI bill doesn't surprise you.

    Why Teams Choose 011BQ

    Senior engineers only

    No juniors, no learning on your dime

    Founder-led delivery

    Shashank personally involved on every project

    Clear timelines & docs

    Scoped milestones, weekly demos, full handover

    US hours overlap

    Eastern & Pacific timezone coverage

    Consistent team

    Same engineers start to finish

    Security & IP protection

    NDA before day one, ISO 27001 certified

    What Teams Hire Us to Build

    LLM integration & prompt engineering

    OpenAI, Anthropic, Gemini, Mistral — production-grade, not toy demos

    RAG pipelines & semantic search

    Let your LLM answer questions from your actual data, reliably

    AI agents & workflow automation

    Multi-step agents that do real work without hallucinating off track

    AI cost optimization & observability

    Slash token spend, add tracing, make your AI stack debuggable

    Common Questions

    3 spots left this month

    Free AI Technical Review

    30 minutes. Honest feedback. No sales pitch.

    Prompt & architecture audit
    Cost analysis
    No sales pressure
    30-day exit clause
    NDA before any discussion
    Senior engineers only