Generative AI Solutions
Create content, insights, and code with enterprise guardrails.
- RAG apps (private knowledge search)
- Secure prompt engineering & evals
- Fine‑tuning & distillation
Agenforge designs reliable, production-grade automation: LLM solutions, autonomous agents, and cloud-native pipelines. We turn business goals into measurable outcomes — faster releases, fewer incidents, and happier users.
# Declarative agentic workflow
agents:
- name: research
skills: [web_search, summarize]
- name: planner
skills: [task_decompose, tool_select]
- name: executor
skills: [call_api, run_job]
pipeline:
- step: "ingest request"
- step: "generate plan" # LLM prompt chain
- step: "dispatch agents" # agentic execution
- step: "deploy" # DevOps CI/CD
- step: "observe & learn"Choose from modular services or an end‑to‑end program. We design for security, reliability, and measurable ROI.
Create content, insights, and code with enterprise guardrails.
Goal‑driven agents that plan, act, and verify outcomes.
High‑velocity delivery with reliability baked in.
Define KPIs → ship → measure. Clear success metrics every sprint.
Role‑based access, secrets hygiene, and model/data governance.
Starter kits, templates, and modules to accelerate delivery.
Dashboards, alerts, SLOs, and runbooks from day one.
Structured, transparent, and iterative. From discovery to run‑ops, we keep you in the loop.
Stakeholder goals, data & systems, risk & constraints. Define success KPIs.
Architecture, model/tool selection, security plan, and delivery roadmap.
LLM apps, agents, CI/CD, infra-as-code. Datasets, evals, and guardrails.
Production hardening, dashboards, alerts, playbooks, and continuous tuning.
Tell us what you’re aiming to achieve. We’ll review and respond with a high‑level plan & estimate.
Yes. We design offline pipelines, self‑hosted models, and artifact mirroring. We also integrate with existing SSO, secrets management, and audit systems.
We are model‑agnostic: OpenAI, Anthropic, Llama‑family, and others. For tooling we use LangChain/LlamaIndex, vector DBs (Chroma, PGVector, FAISS), and standard DevOps stacks (GitHub Actions/Jenkins, Terraform, Docker/K8s).
Data minimization, PII handling, RBAC, prompt injection defenses, evaluation gates, approval workflows, and logging. We adopt least‑privilege and supply‑chain best practices.