Custom AI built
for your problem.
LLMs, agents, RAG systems, computer vision. 50+ AI systems shipped. 73% avg. manual work eliminated. Fixed price.
Afnexis Results
50+
AI systems shipped
in production
73%
avg. manual work eliminated
across deployments
6-12 wks
to production
avg. timeline
4.9/5
client rating
30+ clients
WHAT WE BUILD
Which AI does your business need?
AI Strategy & Roadmap
We audit your data, map your workflows, and rank AI opportunities by ROI. You get a ranked backlog with effort estimates. Not a strategy deck that sits in a drawer.
Custom LLM Development
GPT-4, Claude, Llama, and Mistral fine-tuned on your data. LoRA and QLoRA cut query cost 60% vs a larger model. Eval pipeline ships alongside it.
AI Agent Systems
LangChain and LangGraph orchestration for multi-step autonomous workflows. FinanceLink Australia's onboarding went from 3 hours to under 5 minutes with an agent pipeline.
RAG Knowledge Bases
Hybrid search (keyword plus semantic), re-ranking, and hallucination guardrails. Every answer cites its source. Built on Pinecone, FAISS, or pgvector.
Process Automation with AI
Document processing, data extraction, classification, and routing. My Medical Records AI's OCR pipeline handles HIPAA-compliant health record extraction at scale.
AI Integration into Existing Systems
Add AI capabilities to your current stack without a rewrite. API endpoints, webhook-driven pipelines, and clean handoffs to your existing database and UI.
By Muhammad Aashir Tariq · CEO & Head of AI, Afnexis · Updated April 2026
REAL RESULTS
Numbers from real deployments.
73%
avg. manual work cut
across AI deployments
3 sec
credit scoring time
ShinyLoans per application
3h to 5min
process time reduction
FinanceLink Australia
80%
manual review reduced
fintech AI clients
"Our manual review team was handling 200 applications a day. After Afnexis built the AI scoring system, the same team handles 800. The other 600 are auto-approved or auto-rejected with 94% accuracy."
CEO · FinTech Company · USA
HOW IT WORKS
From call to production in weeks.
Discover
Technical discovery sprint. We audit your data, run feasibility checks, and scope the AI system with effort and accuracy estimates.
Prototype
Working proof of concept in 2 to 3 weeks. Real data, real accuracy metrics. You decide whether to proceed based on actual results.
Production
Deployed API with monitoring, eval pipeline, and rollback capability. You own everything: weights, code, pipelines, and deployment configs.
PRICING
Fixed price. No surprises.
Ranges from 50+ real projects. Milestone billing. No retainers.
| Project Type | What's Included | Timeline | Starting At |
|---|---|---|---|
| AI Strategy Sprint | Data audit, opportunity ranking, effort and ROI estimates | 1-2 weeks | $8K |
| AI Prototype | Single use case, real data, accuracy report | 3-6 weeks | $20K |
| Production AI System | Deployed API, monitoring, compliance, eval pipeline | 6-12 weeks | $50K |
| Enterprise AI Platform | Multi-model system, MLOps, custom data infra, SLA support | 12-24 weeks | $120K |
FAQ
Quick answers.
How much does AI development cost?
A proof of concept with one focused use case runs $8K to $20K. A production AI system with training pipelines, APIs, and monitoring typically runs $50K to $120K.
Do we own the model after you build it?
Yes. You own everything: source code, model weights, training pipelines, and deployment configs. No proprietary wrappers. We hand off a full runbook.
What compliance standards do you support?
We've built HIPAA-compliant AI for My Medical Records AI, SOC 2-ready systems for enterprise buyers, and GDPR pipelines for European clients.
How long does it take to deploy?
First working prototype in 2 to 3 weeks. Production deployment in 6 to 12 weeks depending on scope and data readiness. Healthcare and fintech add 2 to 4 weeks for compliance.
READY TO START?
Let's build your first agent.
30-min call. No pitch. We map the workflow and quote it.