Accelerative AI
Framework.

Our accelerator for enterprise AI — pre-built components for RAG, agents, evaluation, and governance, so you ship AI in weeks, not quarters.

Brief us See work
What we build

The Accelerative AI Framework is Emorphis’s accelerator for enterprise AI delivery — pre-built, production-tested components for retrieval, agents, evaluation, observability, and governance that cut AI time-to-production dramatically.

Problem · approach · outcome.

How we run this kind of work
01 · Problem

Every enterprise AI project rebuilds the same plumbing.

Retrieval, evaluation, guardrails, observability, cost control, and governance get rebuilt on every AI project. That plumbing is 70% of the effort and none of the differentiation.

02 · Approach

Pre-build the plumbing, customise the value.

The framework provides production-tested components for the common 70% — retrieval, agents, evaluation, guardrails, observability, governance — so the team focuses on the 30% that's your specific use case.

03 · Outcome

Enterprise AI in weeks.

AI in production faster, with the operational discipline (evaluation, governance, observability) built in from day one rather than retrofitted.

What we ship.

6 modules · extensible
F-01

RAG components

Production-tested retrieval, chunking, re-ranking, and citation.

F-02

Agent framework

Tool-use, planning, and orchestration with guardrails.

F-03

Evaluation harness

Built-in evaluation, regression testing, and A/B for AI.

F-04

Guardrails

PII, prompt-injection, and content-moderation components.

F-05

Observability

Full tracing, cost telemetry, and quality dashboards.

F-06

Governance

Audit trails, model registry, and approval workflows.

Tech stack.

Production-tested
Models
ClaudeGPTMistralLlama
Retrieval
pgvectorPineconehybrid
Orchestration
LangGraphcustom
Eval
PromptfooLangSmith

Enterprise AI
in weeks?

Technology · AI accelerator
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Accelerative AI Framework FAQs.

Q-01Is it a product or a service?
An accelerator framework applied within a delivery engagement — pre-built components plus customisation for your use case.
Q-02What does it accelerate?
The common 70% of enterprise AI — retrieval, agents, evaluation, guardrails, observability, governance.
Q-03Which models?
Model-agnostic — Claude, GPT, Mistral, Llama, and self-hosted.
Q-04Governance built in?
Yes — audit trails, model registry, and approval workflows from day one. See enterprise AI.

Related across the cluster.

Proof & resources→ 3