Software and Platform Services for ISVs and SaaS Companies
Trusted by leading companies worldwide
Who we help
Intellias works with software companies across the software and platforms industry, from the first scale-up to the acquisition-led enterprise group. Each stage brings its own challenges, and we’ve delivered through all of them.
Intellias helps ISVs, including AI ISVs, modernize the core product and embed AI without freezing the roadmap.
Intellias helps SaaS companies ship faster, cut churn, and fix unit economics.
Intellias helps platform companies scale architecture, data, and partner ecosystems, from B2B platforms to marketplaces.
Intellias helps investor-backed software companies get due-diligence-ready and reach the AI-maturity benchmarks investors underwrite to.
Intellias helps acquisitive software groups consolidate acquired products and legacy stacks into one platform. For GBG, that meant 80+ products in a single ecosystem.
Software and platforms solutions: Advisory that makes money and saves money
Intellias is a software consulting company that pairs advice with engineering. Our software consulting services and platform consulting services cover four offers: funding, cost optimization, AI adoption, and new revenue. For SaaS companies, this is SaaS consulting tied to engineering delivery, from strategy through to production.
Funding and round advancement
Technical due diligence covers architecture, security, scalability, and AI maturity, structured to the frameworks PE and VC technical advisors use. We map your results to the benchmarks investors read:
- Revenue per employee
- AI-attributed revenue %
- Engineering velocity
- Token unit economics
Cost optimization: FinOps and Token Ops
Token Ops is the practice of cutting LLM spend through model routing, prompt optimization, semantic caching, and task-to-model alignment.
- Cut cloud spend 25–40% with FinOps assessments, right-sizing, and reserved capacity.
- Cut token spend 40–70% with Token Ops.
- Rethink build versus buy, product by product.
Advanced AI adoption
We deliver AI through AI Pods on an outcome-based model.
- RAG and knowledge graphs over your company data
- Impact frameworks that forecast AI ROI before you commit budget
- A clear path for your teams up the AI maturity curve
New revenue streams
- Outcome-based pricing in place of seat licensing
- Hyper-personalization
- Data monetization through MCP connectors
- Products rebuilt as orchestration platforms with embedded agents
AI solutions for every team in a software company
Every team in a software company has work AI can take on. Here’s where we put it to work, and the results we target.
-
Sales and marketing
Shorter sales cycles, more content, and lower CAC. AI agents handle 60–80% of SDR activities, content output grows 10x, and sales cycles run 20–40% shorter.
-
Product management and engineering
Features ship 2–3x faster, with 50–60% higher AI coding efficiency. AI-led refactoring sprints cut tech debt without slowing delivery.
-
Customer service and success
Customers get answers faster and stay longer. AI deflects 60–80% of Tier-1 tickets, churn drops 15–30%, onboarding time-to-value is cut in half, and each CSM does twice the work.
-
Legal, finance, vendor management, and supply chain
Back-office work gets faster and easier to audit. Contract review runs 50–70% faster, 15–25% of SaaS spend is reclaimed, and teams are audit-ready by default.
Custom ISV software development services
As a custom ISV software development company, Intellias builds and modernizes products for the software makers that sell them. An independent software vendor (ISV) builds and sells software that runs on third-party platforms, such as AWS, Azure, or Google Cloud. Our ISV software solutions cover product capabilities, platform architecture, data, infrastructure, and go-to-market. Each one ties to a delivery outcome, not a slide.
AI features only create value when they run reliably in production. We build production-grade AI infrastructure on hyperscaler AI services, with MLOps frameworks that automate training, deployment, monitoring, and retraining. Our teams build for scale and cost control from the start, using event-driven, serverless and infrastructure-as-code patterns.
We prepare, optimize and position your product for AWS, Azure, and GCP marketplaces and their co-sell programs. We also integrate your product with the surrounding systems a marketplace listing depends on, so listing, procurement and deployment work as one smooth path.
How we deliver: AI Pods
An AI Pod is a 3–5-person team that combines product, design, and engineering talent with AI agents for requirements, architecture, coding, QA, and DevOps. Pods work on an outcome-based model and use production AI tooling, including Claude Code, GitHub Copilot, and Cursor. Delivery is measured in features shipped, not hours logged. Teams typically ship 2–3x faster. The result is a smaller, faster team that keeps the roadmap moving while the platform changes underneath it.
Team structure
- Teams are smaller, every member with product mindset
- Roles within the team blur
- Centers of Excellence enable specialization as needed
Product design & delivery
- Streamlined transition from “define-design” to “build”
- Fast cycle-time with AI-agents autonomously orchestrating the flow
- Significantly faster product increments delivery
+ AI tooling
- Replit, Lovable
- Claude Code, GitHub Copilot, Cursor
Partnering for your success
Why software companies choose Intellias
Hyperscaler depth
We’ve been an AWS partner since 2020, with 1,200+ AWS engineers and 300+ delivered projects. On Azure, 924 of our engineers have passed Microsoft exams. We also deliver on Google Cloud. Whichever hyperscaler your customers buy from, our teams already build on it.
Data and AI foundations
We build on Databricks and Snowflake, and on our own AI-ready data engine. For GBG, that meant turning 80+ products into one data platform and opening a new revenue stream in 9 months.
Advisory plus engineering
One team covers the whole path: technical due diligence, FinOps and Token Ops, and production delivery. You don’t hand strategy to one vendor and the build to another.
years building and scaling digital platforms
faster feature delivery with AI Pods
ISV, software, and SaaS clients globally
lower spend through cloud cost optimization
FAQs about our software and platform services
An AI development company for ISVs builds AI into software products and the teams that make them. Intellias adds copilots, personalization, and predictive features to ISV products, sets up the data and MLOps foundations behind them, and delivers through AI Pods so features ship 2–3x faster.
AI Pods are 3–5 person Intellias teams that combine product, design, and engineering talent with AI agents for requirements, architecture, coding, QA, and DevOps. They work on an outcome-based model, so you pay for results. Pods use tools such as Claude Code, GitHub Copilot, and Cursor.
Use FinOps for cloud and Token Ops for LLMs. FinOps assessments, right-sizing, and reserved capacity cut cloud spend 25–40%. Token Ops cuts token spends by 40–70% through model routing, prompt optimization, semantic caching and task-to-model alignment. Intellias runs both as part of delivery.
Start by assessing architecture, security, scalability and AI maturity, using the frameworks PE and VC technical advisors apply. Then close the gaps against the benchmark investors read: revenue per employee, AI-attributed revenue %, engineering velocity, and token unit economics. Intellias runs the assessment and the remediation.
Outcome-based pricing charges customers for results delivered, not seats licensed. A software company might price per resolved ticket, processed document or completed workflow. It aligns revenue with value in AI-driven products. Intellias helps software companies design these models alongside the engineering needed to meter them.
Check out four things: a track record with ISVs, hyperscaler partnerships, an AI delivery model, and the share of senior talent. Intellias has 90+ ISV and SaaS clients, AWS partnership since 2020, AI Pods, and 60% senior engineers across 3,000 specialists.
Cost depends on scope, complexity, and engagement model. Intellias works in three: AI Pods on an outcome basis, dedicated teams, and project-based delivery. We scope against a measurable result, such as feature velocity or cost saved, and price the engagement to it.