Pre-built blueprints, your first GenAI app in weeks, not quarters.

GenAI Accelerators

Ready-to-customize accelerators for the patterns enterprises ask for most: doc Q&A, agent workflows, code-gen co-pilots and structured-data extractors. We tune them to your data, not the other way around.

Starter kitsTime-to-valueWhite-label ready
AI
Service · Infivit
GenAI Accelerators
Production-grade
GitHub-native delivery
4-8 wks
time to production
70%
less greenfield code
100%
yours to extend
fixed
price engagements
Our genai accelerators approach

The first 70% is solved. We start at the interesting part.

Every GenAI v1 wastes a quarter rebuilding the same plumbing, auth, multi-tenancy, retrieval pipelines, eval harnesses, observability. Our accelerators are battle-tested implementations of that boilerplate, ready to be branded, themed and tuned to your data. You skip the parts that don't differentiate and your team focuses where the leverage actually is: domain knowledge, prompts and product polish.

You own everything

Full source, IP transfer, no license traps. Accelerators are starting points, not vendor lock-in.

Model-agnostic from day one

Same patterns ship on GPT-4o, Claude, Llama, Mistral. Pick the model that fits your privacy and cost posture.

Fixed-price, fixed-timeline

We scope each accelerator engagement as a sprint with a delivery SLA. No T&M creep, no scope drift.

Why this matters now

Why "build vs buy" got a third answer in 2026.

For years, GenAI choices reduced to: build it yourself or buy a SaaS. Accelerators add a third option, own the code, ship in weeks, extend forever.

14 wks
avg time-to-MVP saved

Our customers consistently shave 3+ months off the time it takes to ship their first production GenAI feature.

60%
of v1 GenAI builds get rewritten

Without architecture experience, early decisions (security boundaries, eval harnesses, multi-tenancy) frequently cause v2 rebuilds. Accelerators sidestep that trap.

3.5×
ROI vs greenfield builds

Customers who use accelerators ship more features per quarter at lower per-feature cost, measurable from quarter one.

Services we ship

GenAI Accelerators services we offer.

Each item below is a discrete, measurable workstream we own end-to-end, with senior engineers, real timelinesand the test coverage to back it up.

Document Q&A accelerator

Hybrid retrieval, re-ranking, citation enforcement, multi-tenant isolation, wired to ingest your PDFs, Confluence, SharePoint or S3 buckets in 48 hours.

Agentic workflow accelerator

A LangGraph-based supervisor with tool-calling, retry policies, observability and human-approval gates. Customize the tools, ship the rest.

Code co-pilot accelerator

IDE-integrated assistant fine-tuned on your monorepo. Generates PRs, writes tests, follows your house style, not generic boilerplate.

Structured extraction accelerator

Pull invoices, contracts, claims and forms into typed JSON with validation, robust to scanned docs, multi-language and templated PDFs.

Voice agent accelerator

Real-time voice with sub-second latency: STT → LLM → TTS, with barge-in support and call-center integrations (Twilio, Genesys).

White-label SaaS accelerator

Multi-tenant LLM SaaS skeleton, auth, billing, tenancy isolation, observability, so you can launch a product, not a science project.

Tech stack

We're fluent in your stack.

Vendor-agnostic by design. We pick the right tool for the problem in front of us, not the one our partner discounts apply to.

LangChain
LangGraph
LlamaIndex
OpenAI
Anthropic
Ollama
pgvector
Pinecone
Twilio
Stripe
Clerk
Where we've shipped this

Real engagements. Real numbers.

Legal

Contract review co-pilot, live in 5 weeks

A 200-lawyer firm ingested 14 years of agreements; the doc-Q&A accelerator now answers junior questions instantly with citations to source clauses.

5 wks
idea to launch
Why teams pick Infivit for GenAI Accelerators

Six reasons enterprises run GenAI Accelerators with Infivit.

Built for the 2026 reality of GenAI Accelerators: the actual buyer pain, the actual technical constraints and the actual outcomes that matter, not generic AI talking points.

2w
First demo in 2 weeks

Time-to-first-value, measured in weeks.

Production-tested starter kits for Q&A, doc extraction, agents and co-pilots. Bring your data and your brand, demo to leadership in 14 days flat.

80%
The undifferentiated heavy lifting

80% of the work is already done.

Auth, RAG, evals, telemetry, guardrails and UI scaffolding ship on day one. Your team focuses on what makes your version unique, not on undifferentiated plumbing.

White-label, your brand

Your logo, palette, voice and domain knowledge.

Every accelerator ships fully brandable. Looks like you built it, because you own it. No "Powered by Infivit" badges, no consultant fingerprints.

Battle-tested, not demo-ware

Each kit has shipped to real users at scale.

Not a GitHub clone of a tutorial. Every accelerator has handled real production traffic with real customers in real industries, before it ever ships to you.

Swap models, no rewrite

Provider abstraction baked into every kit.

OpenAI, Anthropic, Llama, Mistral, your own fine-tune, all interchangeable. Negotiate with vendors from a position of leverage, always.

Yours to own, not rent

Source-available, deploy on your infra.

No per-seat lock-in, no API surcharges, no MSA renegotiation in year two. The accelerator is yours to fork, deploy and evolve forever.

FAQ

The questions you were already going to ask.

Completely. There's no licensing trap, you get the full source, IP and the right to modify it. We use accelerators to skip the boring 70%, not to lock you in.

Got a genai accelerators problem?
Let's ship the fix.

A 30-minute call with one of our senior engineers, no slideware, no scoping doc. You leave with a concrete view of what the first 30 days look like.

No NDA needed for first call
Senior engineer on the line
Replies in <24h, business days