Diffco Services

AI/ML Engineering
and development

Production-grade AI solutions and AI agents, professionally built, integrated, and scaled for your business.

LLM

ML

Computer Vision

Audio Detection and Recognition

What we build

At Diffco, AI development is not about isolated demos. We design, build, and run end-to-end AI systems that plug into your real workflows, data, and tools:

Custom LLM solutions & AI agents

Chatbots, copilots, workflow automation, RAG-based systems, knowledge assistants.

Predictive & ML systems

Forecasting, anomaly detection, scoring and personalization.

Computer vision

Image and video understanding, quality control, document processing.

AI platforms & MLOps

Production pipelines, monitoring, governance, and observability.

Tech stack

We are platform-agnostic and design architectures around your requirements, not a single model.
Our engineers work daily with:
OpenAI GPT
Anthropic Claude
Google Gemini
Meta Llama
Mistral
Grok
TensorFlow
Keras
PyTorch
OpenCV
LangChain
LlamaIndex
Vector DBs

Integration in your environment

AI delivers the most value when it integrates seamlessly with your existing data, platforms, tools, and processes. Our team integrates AI solutions across:

CRMs & ERPs

CRMs & ERPs

Salesforce, HubSpot, Dynamics, NetSuite

Support & operations tools

Support & operations tools

Zendesk, Intercom, ServiceNow, Jira

Productivity & knowledge bases

Productivity & knowledge bases

Confluence, Notion, Google Workspace, Microsoft 365

Data platforms

Data platforms

Data warehouses, data lakes, event streams, analytics tools

Custom APIs & internal systems

Custom APIs & internal systems

We handle security, access control, and compliance to ensure AI
can safely use your private data without compromising governance.

Our engineers have built and scaled AI-powered products for startups and enterprises around the world, including fast-growing SaaS companies, marketplaces, fintech, healthtech, and B2B platforms.

Our engineers developed products for

Project Stages and Flow

We keep AI projects transparent, predictable, and measurable:

01

Discovery & AI use-case mapping

We clarify business goals, processes, and data sources. Together, we prioritize AI use cases by impact vs. effort.

02

Solution & architecture design

We select models (or families of models), define the system architecture, data flows, and integration points, and plan how AI will interact with your users and teams.

03

Prototype / PoC

We build a quick, focused PoC to validate feasibility, UX, and value. This reduces risk and gives stakeholders something real to test early.

04

Production build & integration

We implement the full solution: backend services, UI, integrations, logging, monitoring, security, and model lifecycle management (retraining, versioning, rollback).

05

Pilot, rollout & optimization

We run pilots with real users, track KPIs, fine-tune prompts/models, and then scale to more users, regions, or use cases while keeping quality and cost under control.

06

Continuous improvement & support

AI systems improve over time. We set up feedback loops, evaluation dashboards, and A/B tests to keep models accurate, safe, and aligned with your business.

Let’s discuss your project future together
Let’s chat

We will have 2 approaches
to developing your project

Project
development

Project development provides a fully dedicated AI team to bring your vision to life—from concept to production and beyond. We assemble a cross-functional squad (AI/ML engineers, backend/frontend, designers, product & QA). This approach is ideal when you want to ship a complete AI solution with minimal management overhead on your side.

Team
augmentation

Team augmentation lets you embed senior AI talent directly into your existing team, adding capacity and specialized expertise without long hiring cycles. Our experts adopt your tools and culture so you retain full control of the roadmap while significantly increasing execution speed.

Development Formats and Billing

Time & Materials

The best AI software requires experimentation and iteration. Requirements evolve as you see real performance and user feedback. With the Time & Materials (T&M) approach:

  • You pay only for the actual work delivered
  • We can adjust scope and priorities quickly
  • You avoid overpaying for risk contingencies that you may never use

For a deeper breakdown of when T&M makes the most sense, see our detailed blog article on the topic.

Agile

AI projects benefit from short feedback loops and continuous learning.
Our Agile approach:

  • Breaks development into short sprints with clear goals
  • Gives you visibility into progress after each iteration
  • Allows us to incorporate your feedback and new learnings rapidly
  • Reduces the risk of “big bang” releases that miss the mark

Agile AI delivery is more flexible and less risky than rigid, linear Waterfall processes—especially when the technology and business are both evolving quickly.

Our whole-solution approach

Diffco’s AI engineering team does much more than write code. We help you:

  • Shape the product – ideation, UX for AI, risk & deep product opportunity analysis
  • Prepare your data – pipelines, cleaning, labeling strategies, governance
  • Choose and combine models – vendor-neutral selection, hybrid architectures, fallback strategies
  • Build responsibly – access control, PII handling, safety filters, evaluation frameworks
  • Launch and grow – monitoring, observability, cost optimization, continuous improvement

We aim to be your long-term AI partner, helping you validate ideas quickly, launch with confidence, and evolve your AI capabilities as your business scales.

Let’s chat

Benefits of Working with Diffco

Dedicated and Experienced Teams

With Diffco, you can expect senior expert:

  • 🧑‍💻AI/ML & software engineers
  •  🧑‍🎨 Product and UX designers
  • 👩🏽‍💼Project and product managers.

Streamlined Development Process

Our Agile project management keeps you in the loop at every step—from early PoC to production rollout—so you always know what’s happening and why.

Transparent Billing

You always know what to expect and never face surprises. We make it clear:

  • What you’re paying for
  • How time is spent
  • How costs connect to delivered outcomes

Clear communication and detailed reporting

From the first workshop to post-launch optimization, you’ll:

  • Have direct access to the Diffco team
  • Receive regular progress updates and demo builds
  • See clear documentation of decisions, architecture, and metrics

Our goal is for you to always have your finger on the pulse of your AI initiative.

Let’s build something
great together.

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Frequently Asked Questions

FAQ

Frequently Asked Questions

What types of AI solutions can you build for us?

We design and develop custom LLM solutions (chatbots, copilots, agents), predictive models, audio&video recognition and generation, recommendation systems, and computer vision solutions. Our focus is always on solving real business problems—automation, decision support, and better customer experiences.

Can you integrate AI into our existing products and tools?

Yes. Most of our work is integrating AI into existing systems—web and mobile apps, CRMs, ERPs, support tools, and internal platforms. We build APIs, connectors, and workflows so AI feels native to your product and processes.

How do you handle our data, privacy, and compliance?

We design architectures so your sensitive data stays protected, using secure infrastructure, access control, and logging. Where needed, we can use private deployments, regional hosting, or model providers that meet your compliance requirements (e.g., SOC 2, HIPAA-ready options).

What does a typical AI project timeline look like?

We usually start with a short discovery phase and a focused PoC to validate value and feasibility. From there, we move into production build, integrations, and rollout. Smaller projects can be delivered in weeks; larger platforms typically go through several iterations.

Do you only offer full project delivery, or can you extend our team?

We do both. We can own the entire AI solution as a dedicated product team, or augment your existing engineers with senior AI/ML and platform specialists. You can mix these models over time as your internal capabilities grow.

What do you need from us to get started?

We need clarity on your business goals, access to relevant data or systems, and a primary decision-maker on your side. In the first workshops, we align on use cases, constraints, success metrics, and choose a realistic initial scope.

Can you help us define AI use cases if we’re not sure where to start?

Yes. We often begin with discovery workshops where we map your processes, pain points, and data. Then we propose concrete AI use cases, estimate impact and effort, and help you prioritize a realistic roadmap.

How do you estimate costs for an AI project?

We break costs into discovery, development, integration, and ongoing operations (including model/API usage). You’ll receive a clear scope, assumptions, and ranges so you can see how choices affect budget and timelines.

Can you improve or refactor our existing AI/ML solution?

Absolutely. We can review your current models, prompts, pipelines, and infrastructure, then suggest improvements to accuracy, latency, robustness, and cost. In many cases, optimization delivers quick wins without a full rebuild.

How do you ensure AI quality and reduce hallucinations?

We design guardrails using retrieval-augmented generation (RAG), structured prompts, validation layers, and evaluation datasets. We also log interactions and continuously refine prompts and models based on real-world usage.

Can you build on-premise or private cloud AI solutions?

Yes. For strict security or compliance environments, we can deploy models and infrastructure in your private cloud or on-premise. We work with your IT and security teams to align with internal policies and approvals.

Will our team be able to maintain the solution after launch?

We build with maintainability in mind: clear architecture, documentation, and handover sessions. If desired, we can continue as a long-term partner for optimization and support while your internal team ramps up.

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