GPT-4o, Claude 3.5, Llama 3.1 in Production · ISO 9001 Certified

Generative AI Development Services that ship past the demo

Senior GenAI engineers building production systems on GPT-4o, Claude 3.5 Sonnet, Llama 3.1 70B with QLoRA, and Stable Diffusion 3. RAG with hybrid search, evaluation harnesses on Ragas and DeepEval, guardrails, and LangSmith or Langfuse observability before launch. NDA in 24 hours. Code, prompts, weights, and IP transfer to you.

4.9 / 5from 2,495 reviews
ISO 9001 Certified
Get a Free GenAI Use Case AuditSee Production Work

  • 350+

    Production Builds Shipped

  • 35+

    Countries Served

  • 11 yrs

    In Production Since 2015

  • Top 1%

    GenAI Engineer Vetting Bar

Your Trusted Generative AI Partner

Generative AI Development Built for Production, Not Just a Demo

Frontier Models, Private Data, Measurable Quality

Work with senior GenAI engineers who have shipped LLM and multimodal systems to real users since the GPT-3 era. From RAG over private knowledge bases to QLoRA fine-tuning on Llama 3.1, image and video pipelines on Stable Diffusion 3 and Runway Gen-3, and code generation copilots on vLLM, we build generative AI that scores on a golden eval set, runs inside a cost budget, and stays maintainable as models ship new versions every quarter.

How Much Does Generative AI Development Cost?

Honest USD Rate Bands From an Indian Senior Team

A fixed-scope GenAI MVP starts at $20K. Most production GenAI platforms with RAG, guardrails, and observability land between $60K and $200K. Enterprise GenAI infrastructure with self-hosted inference and audit trails starts near $250K. Prefer a senior GenAI engineer on your team instead? From $1,850 per month, first week on us.

  • GenAI MVP

    A focused fixed-scope GenAI build, ready for first users

    $20Kto $60K

    • One use case
    • RAG or prompt-only
    • Eval baseline shipped
  • Most Common

    Production GenAI Platform

    Multi-feature platform with fine-tuning, RAG, and observability

    $60Kto $200K

    • RAG + fine-tune
    • Guardrails + moderation
    • LangSmith or Langfuse

  • Enterprise GenAI Infra

    Private inference, multi-tenant, audit trails, SOC 2 ready

    $250Kand up

    • Self-hosted on vLLM
    • Multi-tenant guardrails
    • Audit trails + SSO

  • Dedicated GenAI Engineer

    A senior engineer on your team, monthly rolling

    $1,850per month

    • Senior, vetted
    • Monthly rolling
    • 7-day trial
What We Build

What can we build with generative AI?

Eight categories of generative AI development work, from greenfield RAG systems to multimodal pipelines and custom fine-tuned base models.

Reference Architecture

Which architecture do we use for generative AI development?

Six layers we wire together on greenfield generative AI builds. Each layer is testable, replaceable, and observable from sprint one.

Prompt Layer

Prompt engineering at scale with DSPy and versioned prompt registry. Structured output with JSON schemas. Few-shot examples sourced from your golden set.

RAG and Retrieval

Hybrid search on Pinecone, Qdrant, Weaviate, or pgvector. Re-ranking, chunking strategies tuned per document type. Citation chunks returned with every response.

Model Layer

GPT-4o, Claude 3.5 Sonnet, Llama 3.1 70B, Mistral Large, Gemini 1.5 Pro. Fallback strategies, model routing by query complexity, cost-aware inference.

Fine-Tune and Multimodal

LoRA, QLoRA, and PEFT fine-tuning on Unsloth. Multimodal pipelines wiring text, image with Stable Diffusion 3 and Flux, audio with ElevenLabs, video with Runway Gen-3.

Guardrails and Moderation

Input and output guardrails for PII, policy, and jailbreak. Content moderation, refusal on low confidence retrieval, audit trails for compliance and SOC 2 readiness.

Eval and Observability

Ragas, DeepEval, TruLens scoring on every PR. LangSmith, Langfuse, Helicone, and Arize traces in production. Cost, latency, and faithfulness as tracked SLOs.

Eval scores, prompts, and traces in your repository on day one

Delivery Process

How does our generative AI development process work?

From use case audit to production launch with eval at every cycle and audit-friendly deliverables.

  1. Day 0 to 5

    Discovery and Use Case Audit

  2. Day 6 to 7

    SOW and NDA in 24 Hours

  3. Sprint 0

    Data Prep and Eval Baseline

  4. Every Sprint

    Two-Week Sprints with Eval

  5. Milestone

    Production Launch and Observability

  6. Post-Launch

    Sustained Iteration and Upgrades

7-day No-Risk Trial

The first week is on us

Start with a brief
Engagement Models

What engagement models do you offer for generative AI development?

Transparent USD rate bands, rolling monthly cancel, no setup fees, no markup.

  • Hourly

    Pay only for hours used

    $28/hour

    Tracked weekly, billed monthly

    • Prompt and RAG audits
    • Eval harness setup
    • Latency and cost reviews
    • No minimum commitment
    • Mutual NDA before brief
    Start Hourly
  • Most Popular

    Dedicated

    Senior GenAI engineer, full-time on your product

    $1,850/month

    Monthly rolling, cancel anytime

    • One engineer, only you
    • Embedded in your sprint
    • Reports to your stakeholders
    • 7-day no-risk trial
    • 48-hour replacement guarantee
    Get a Shortlist

  • Staff Aug

    Plug into your existing AI team

    $2,100/month

    Per-engineer monthly

    • Joins your standups
    • Your sprint, your tools
    • Your repo, your eval set
    • Scale up or down monthly
    • 48-hour replacement
    Augment Team

  • Fixed Scope

    Locked deliverables and timeline

    $20,000+ project

    Per-milestone payments

    • Best for GenAI MVPs
    • Locked scope upfront
    • Locked timeline
    • Eval-score acceptance
    • No surprise change orders
    Get a Quote
Production Work

What have we built with generative AI?

Four real generative AI platforms from the Decipher Zone portfolio, live with paying customers.

Frequently Asked

Generative AI Development FAQs Product Leaders Ask Up Front

Cost, fine-tuning vs RAG, data privacy, model choice, latency, evaluation, and hallucination control, answered straight.

  • A fixed-scope GenAI MVP runs from $20,000 and most production GenAI platforms fall between $60,000 and $200,000 depending on data volume, retrieval complexity, and whether fine-tuning is in scope. Enterprise GenAI infrastructure with private inference, multi-tenant guardrails, and SOC 2 ready audit trails starts near $250,000. Or hire a dedicated senior GenAI engineer from $1,850 per month, first week on us.

Related Capabilities

Related AI Capabilities and Stacks

Explore other stacks, hire models, and capabilities we ship to production for clients in 35+ countries.

Free GenAI Use Case Audit · Reply in 1 Business Day

Ready to Ship Generative AI that Scores on a Golden Set?

Send a brief. A senior GenAI engineer reads it personally and replies within one business day with a free use case audit and an eval plan. No sales call, no pitch deck.

Get a Free GenAI Use Case Auditinfo@decipherzone.com
  • Reply within 1 business day
  • Free use case and eval plan review
  • Mutual NDA before brief
Free 30-minute consultation

Talk to senior developers, not salespeople.

Share your scope. A senior developer reviews it, walks you through the trade-offs, and sends a written summary after the call. NDA before any details are discussed.

  • Written estimate within 5 business days
  • Senior developer on the first call
  • Code stays in your repository
  • ISO 9001 certified shop
4.9 / 5from 2,495 reviews
350+ builds shipped

Talk to Senior Developers

Available

30 minute call. Written summary after. No pitch deck.

NDA signed before any project details are shared