Introducing the 4-Month AI FrameworkRead the guide

Custom AI for enterprise teams built in 4 to 5 months

Fixed price. You own the code.

What is EdgeFirm? EdgeFirm is an enterprise AI development company. We build AI agents, language model apps and data pipelines for finance, supply chain, legal and operations teams. Most builds take 4 to 5 months and run at a fixed price. You own all the source code.

“Automate our support pipeline”

Analyzing 12 data sources

EdgeFirm Agent · working

Typical build time

4 to 5 months

Fixed price, with a working demo every week

What we build

What Enterprise AI Services Does EdgeFirm Provide?

EdgeFirm provides eight core service capabilities engineered specifically for enterprise AI deployments. We eliminate model fragility through deterministic fallback loops, enterprise-grade vector search, and private cloud deployment.

Explore all services

AI agents that do real work

AI agents that carry out multi-step work, read from your internal systems, and act inside your software. Most go live in 4 to 5 months, and we hand over all the source code.

  • Several agents working together
  • Workflows built with LangGraph
  • A person reviews risky steps

Turn scattered company data into answers

Data pipelines that clean, move and sync data from many systems, so your AI and your reports work from one reliable source.

  • ETL / ELT automated pipelines
  • Snowflake, BigQuery & Databricks sync
  • Access controls and audit logs

Custom language model apps, no vendor lock-in

Language model apps built on your own data, using retrieval (RAG) and fine-tuned open-source models, so you are not tied to one vendor.

  • Enterprise RAG & Vector DB wiring
  • Fine-tuned domain-specific LLMs
  • Answers that cite your documents

Legal AI that stays inside your cloud

Legal AI for contract review, clause checks and document management, hosted in your own cloud so client data stays with you.

  • Contract review and redlining
  • Precise legal document OCR
  • Private cloud or on-premise hosting
Why enterprise AI matters

How AI helps every team, not only IT

Every department has data it does not use. We build tools that turn that data into answers and actions each team can use every day.

What your data says

decides how every function closes, forecasts and acts

Finance
Supply Chain
Operations
Customer Support
Compliance
Sales
Results in production

The results.Already in production.

Enterprise teams are already running AI in production. Make sure yours ships in months, not years.

Months to production

4 to 5 months

Typical build time for a fixed scope

Set before work starts

Published guides give 3 to 6 months for enterprise builds

Support queries handled

70%

At Eona.ae, in under 30 seconds

Client-reported

Intercom cites 40 to 76% for AI support agents

Less time on reporting

90%

Weekly reports, 20 hours down to 2

Client-reported, InsightsBot

Same reports, with fewer manual steps

Code ownership

All of it

Source code, documents and admin access

Handed over at launch

No licence fees to us

How we work

How Does an AI Automation Agency Ship Production-Ready AI Agents in 3 to 5 Months?

EdgeFirm uses a 6-stage delivery process with weekly demos, fixed pricing, and strict reliability guarantees. You interact directly with technical founders who write production code from day one.

PostgreSQL
AWS
Google Cloud
Redis
Kubernetes
dbt
Looker
Tableau
Microsoft Teams
Pinecone
Weaviate
...
Week 1 audit2/3
  • Data sources
  • Systems map
  • KPIs → numbers
Defining "done"..72%

Understand & Assess

We audit your data, systems and KPIs in week one and define what 'done' means in numbers.

Architecture
AWSAWS · Kubernetes · FastAPI
Integrations
PostgreSQLCRM · ERP · Warehouse
Payback model
Payback model, signed off

Design & Conceptualize

Architecture, integration map and ROI model agreed before a line of code is written.

IncrementShippedTestsStatus
S1
Data ingestion
142Done
S2
Model evaluation
96Done
S3
Agent workflows
71Review
S4
Admin dashboard
38WIP
S5
Integrations
12WIP

Execute & Refine

Weekly shipped increments you can click, with the founders in every standup.

Production · all systems operational30d
API gateway
OK
LLM inference
OK
Data pipeline
OK
Monitoring
OK
Docs & runbooks
OK

Deliver & Support

Production deployment, monitoring, docs and a trained team, then we stay on.

Handover package
Repos
Infra
Data
Admin

Full IP transfer

Transferred on go-live, no strings attached

  • Codebase & full IP
  • Complete documentation
  • Trained team
  • Credentials & admin access

100% yours

No lock-in

You Own Everything

Full IP transfer, repos, infra and admin access. No vendor lock-in, ever.

Scope shipped over time
Month 4· production

Realistic Timelines

3 to 5 months to production. Fixed scope up front, Weekly demos, Early warning on delays.

What This Costs

Fixed Pricing. Zero Vendor Lock-in.

Most of our custom enterprise AI development engagements fall between $40K and $100K. We lock in a final price before writing a single line of code.

Focused Build

A single targeted AI system, automated workflow, or data ingestion pipeline built to pay back as fast as the process allows.

$40K to $60K
Fixed price
  • A single AI system: chatbot, automation, or pipeline
  • 1 to 2 integrations with tools you already use
  • Typically wraps in 3 to 4 months
Where most clients land

Enterprise Build

Comprehensive custom LLM application, multi-agent orchestration, or decision intelligence platform.

$70K to $100K
Fixed price
  • Custom LLM app, agent system, or decision-intelligence layer
  • 3 to 5 integrations (Salesforce, SAP, internal tools, whatever you run on)
  • 4 to 5 month delivery, our usual pace

Phased Transformation

For organizations modernizing complex operational hubs across multiple operational departments.

$100K to $150K+
Fixed price
  • We tackle your highest-value problem first and measure the result
  • Then scale to the next few use cases once that's working
  • You can stop after phase one if the numbers don't hold up

These are starting ranges, not a quote. The real number depends on your data, your systems, and your compliance requirements. We'll have a clearer figure for you after a 30-minute call.

Testimonials

What our clients say about building with us.

  • “EdgeFirm brought Sokrateque.ai to life: advanced multi-agent systems, Power BI wired to LLMs, and a seamless data pipeline that exceeded our expectations.”
    Tjaco Walvis, Founder & CEO at Sokrateque.ai
  • “EdgeFirm was key to building LAWEP.AI's legal AI platform: powerful data pipelines, accurate OCR, and custom LLM fine-tuning, delivered with speed and precision.”
    Marvi Memon, Founder & CEO at LAWEP.AI
  • “These guys were fantastic. Above and beyond, affordable, and fast. I'm 100% working with them again for updates and new projects. Highly recommended!”
    Alexander LoVerde, Founder & CEO at Inproai
  • “There's not enough words to describe Zain's team. They take pride in their work and always over-deliver. A trustworthy, product-minded agency.”
    Peacemaker Bakinahe, Co-founder at Gfacility
  • “Loved working with Faisal, Usman, and the team. An interesting API integration project, and they figured everything out. I'll definitely work with them again.”
    Drew Isler, Founder & Art Director at deepcutcollections.com
FAQ

Frequently Asked Questions About Enterprise AI Development

Plain answers on cost, timelines, code ownership and accuracy.

Consultancies often hand you a slide deck, and offshore shops often hand you code nobody checked. At EdgeFirm the founders and engineers who scope your project also write it. You get a working demo every week and a fixed price before we start.

Most projects run from $40,000 to $100,000 or more at a fixed price. A focused build, such as one workflow or pipeline, starts around $40,000. A larger build that connects several systems averages about $70,000. A phased rollout across a company starts near $100,000. We confirm the exact price after a discovery call. Published agency guides put agent and RAG builds at roughly $20,000 to $150,000, and larger enterprise systems higher.

Most projects take 4 to 5 months. We follow a four-month framework with a working demo every week, so you can see progress and give feedback before the end. Published agency guides give 5 to 16 weeks for simple agent builds and 3 to 6 months for larger systems.

You do. You receive all custom source code, fine-tuned model weights, workflows and documentation. We add no licence fees, and you can host the system on your own infrastructure.

We cannot remove errors completely, and any vendor who says they can is overselling. We reduce them by tying answers to your own documents and showing the source, by adding fixed workflow steps where the answer must follow a rule, and by sending uncertain answers to a person. Before launch we test accuracy on your own data and share the results and the method with you.

Talk to the founders

Get AI live in months, not years.

Book a 30-minute strategy call with the founders who will write your code.