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AI-First Software Studio  ·  Devsphinx

Software built
AI-first.

We build autonomous AI agent systems and AI-first software products — where intelligence is the foundation, not a feature added later.

AI Agent Systems
AI-First Products
Claude-Native
3–5 Week Delivery
Scroll
3–5
Weeks to production
2×
Delivery modes
5+
Industries served
0%
Hourly billing. Ever.
AI Agent Systems

Autonomous agents that run your business operations

Multi-agent pipelines built on Claude that handle sales outreach, operations workflows, customer support, and internal processes — 24/7, without human input. Not chatbots. Not automations. AI that thinks and acts.

AI-First Software

Software where AI is the architecture, not an add-on

Web apps, SaaS platforms, and custom software built with AI at the core — not bolted on after launch. Every design decision starts with "what should AI handle here?" The result is software that gets smarter as it's used.

Example pipeline · AI Revenue Engine
Agent 01
Research
Agent 02
Personalise
Agent 03
Outreach
Agent 04
CRM Sync
Agent 05
Report
Output
Pipeline
Autonomous
Claude APIMCPPythonNode.jsReactNext.jsPostgreSQLHubSpotSalesforceSlackNotion

What we build

Two disciplines.
One standard.

Whether you need an autonomous agent system or an AI-first software product, the approach is the same — AI at the center from day one, not retrofitted later.

01  /  Revenue

AI Revenue Engine

Autonomous outbound pipeline that researches prospects, writes personalised outreach, books meetings, and syncs every activity to your CRM — running continuously without SDR overhead.

Prospect researchPersonalised outreachCRM syncMeeting bookingPipeline reporting
02  /  Operations

AI Operations Agent

Workflow automation that eliminates manual coordination — approvals, document processing, internal reporting, knowledge retrieval, and cross-tool data sync. Fully autonomous, inside your stack.

Workflow automationApprovalsDocument processingStatus reportingData sync
03  /  Support

AI Customer Support Agent

Intelligent support agent that handles inbound queries, resolves common issues autonomously, escalates when needed, and logs every interaction — reducing ticket volume without sacrificing quality.

Inbound handlingAuto-resolutionSmart escalationCRM loggingSentiment tracking
04  /  Orchestration

Multi-Agent Systems

Production-grade architectures where multiple AI agents coordinate autonomously — each with defined roles, persistent memory, and tool access. Built for real users, real data, real scale.

Agent orchestrationMemory systemsTool useHandoff protocolsMCP integrations
01  /  SaaS Products

AI-First SaaS Platforms

SaaS products designed from the ground up with AI at the core — not a ChatGPT button added to a traditional app. Intelligent workflows, AI-powered features, and systems that learn from usage. Built on React, Next.js, and Node.

Next.jsReactNode.jsAI workflowsLLM integration
02  /  Internal Tools

AI-Powered Internal Tools

Custom internal platforms — dashboards, admin tools, ops software — built with AI embedded into every workflow. Document Q&A, smart search, automated reporting, and AI decision support. No more manual data work.

Internal dashboardsSmart searchRAG systemsAuto-reportingDocument Q&A
03  /  Vertical AI Apps

Vertical AI Applications

Industry-specific platforms built around a core AI capability — recruitment matching platforms, healthcare scheduling systems, logistics route optimization, real estate lead scoring. End-to-end from design to deployment.

Recruitment AIHealthcareReal estateLogisticsFull-stack
04  /  AI Integration

AI Layer for Existing Products

Already have a product? We build the AI layer — adding Claude-powered features, intelligent automation, and agent capabilities to your existing codebase without a rewrite. Proper architecture, not quick hacks.

Claude APIRAGPrompt engineeringEvalsCost monitoring

Our philosophy
"Most software companies add AI.
We start with AI and build everything else around it."

The difference between AI-enhanced and AI-first isn't a feature. It's a design philosophy. When AI is the foundation, every workflow is faster, every system is more capable, and the software compounds in value over time.

Traditional approach

Build first, add AI later

Software is built around manual workflows, then an AI feature is bolted on. The AI is limited by the architecture it was never part of.

AI-first approach

Design the AI layer first

Every workflow is designed around what AI should handle. The software is built to support that — resulting in deeper automation and systems that improve with use.

The outcome

Software that gets smarter

AI-first systems accumulate intelligence over time. The more they're used, the better they get. Traditional software doesn't do that.


Why Devsphinx

Built for production.
Not proof of concept.

The gap between an AI demo and a system that creates real business value — is architecture, scope discipline, and what happens after launch.

Outcome-scoped delivery

Every engagement is scoped to a business outcome — hours saved, pipeline generated, tickets deflected. We measure success in results, not features shipped.

Fixed scope, fixed price

After the discovery call you receive a fixed-scope proposal with a defined deliverable, timeline, and price. No hourly billing. No scope creep. No surprises.

3–5 week delivery

We ship in weeks, not quarters. AI-first development using Claude agents in our own workflow compresses timelines without cutting corners on quality.

Claude-native from day one

Whether it's an agent system or a SaaS product, every architecture is designed around Claude's capabilities — not adapted to fit them afterward.

Compounds after launch

AI-first systems get better with data. Our retainer clients see the biggest performance and capability gains at 30, 60, and 90 days — long after the initial build.

Works with your team

We work alongside your existing stack and your existing team. No rip-and-replace. No learning curve on tools you already use. We fit in, not over.


How it works

Problem to shipped
system in 5 steps.

A clear, accountable process with weekly demos and natural check-in points — same flow whether we're building an agent system or a full product.

01

Discovery call

A free 30-minute session. We map the workflow you want to automate, or the product you want to build. We identify what AI should own, what the integrations are, and what success looks like. Free, no obligation.

Free · 30 min
02

Scoped proposal

Within 5 business days: a fixed-scope proposal with the architecture, deliverables, timeline, and a single fixed price. No billing by the hour. You decide with no follow-up pressure.

5 business days
03

Architecture design

We design the AI layer first — agent roles, memory, tool access, data flows, and integration points. For software builds, we define the AI-first architecture before any UI or backend work begins. You approve before we build.

Week 1–2
04

Build + weekly demos

We build with weekly progress demos on real data. Staging environment access throughout. You see the system working before it goes live — not for the first time at handover.

Week 2–4
05

Deploy, hypercare & evolution

The system goes live with a 2-week hypercare window — prompt tuning, edge case handling, and performance monitoring. Optional monthly retainer for ongoing evolution as your product and team grow.

Monthly · Optional

Industries

Where we deliver
the most value.

We focus on industries where manual work, fragmented systems, and operational complexity make AI-first builds harder — and more valuable.

B2B SaaS

SaaS & Digital Products

AI-powered features, automated lead qualification, churn prediction, and intelligent onboarding. We build the engine that helps software products scale faster.

Recruitment

Recruitment & HR

Autonomous CV screening, candidate scoring, personalised outreach, and interview scheduling. Staffing agencies and HR teams that deploy our agents stop competing on headcount.

Healthcare

Healthcare & Wellness

AI scheduling, patient intake automation, and clinical workflow management. Built with privacy and compliance requirements in mind from day one — not retrofitted.

Real Estate

Real Estate & Property

Lead scoring, automated follow-up, property matching agents, and tenant communication systems. High-volume, relationship-driven — exactly where AI-first builds create the most leverage.

Logistics

Logistics & Operations

Automated dispatching, route optimisation, vendor communication, and operational reporting. Manual coordination is the enemy of scale — we eliminate it.

Hospitality

Hospitality & E-commerce

AI guest experience agents, order management, support automation, and review management. High volume, predictable workflows, strong ROI signals — an ideal environment for agentic AI.

Professional Services

Professional Services

Document processing, client onboarding automation, internal knowledge systems, and reporting for law firms, agencies, and consultancies. Document-heavy, time-sensitive, high-margin.

Fintech

Fintech & Finance

AI-powered compliance checks, fraud signal analysis, customer onboarding agents, and reporting automation. Built with auditability and data handling requirements as first-class constraints.


Work

Systems in the wild.

First deployments are live across both agent systems and AI-first software builds. Full case studies with metrics and architecture diagrams publishing soon.

B2B SaaS  ·  Agent System

AI Revenue Engine — autonomous outbound pipeline

8-agent Claude system — Prospector, Researcher, Copywriter, CRM Agent, Scheduler, Analyst — replacing a full-time SDR. 50 emails/day, 0.7 confidence threshold, 3-tier memory. Zero human input after setup.

Claude API MCP pgvector HubSpot
View case study →
In development
Trucking  ·  AI-First SaaS

AI Dispatch Platform — AI-native TMS for US trucking carriers

7-agent system automating dispatching, load sourcing, rate negotiation, driver communication, and back-office ops. $240K/year saved per 10-truck carrier. $1.65B TAM.

Claude API NestJS Next.js Inngest
View case study →
In development
Recruitment  ·  Agent System

Autonomous CV screening and candidate scoring agent

Claude-based agent ingesting CVs, scoring candidates, drafting personalised outreach, and scheduling interviews — without recruiter input at any stage.

Metrics publishing soon
In progress
SaaS Platform  ·  AI-First Software

AI-first mentoring platform with intelligent matching

Full SaaS product with Claude-powered mentor matching, session summarisation, goal tracking, and progress analysis built into the core architecture.

Case study publishing soon
Coming soon

FAQ

Questions before
every call.

Both. We build autonomous AI agent systems (multi-agent pipelines for sales, ops, and support) and full AI-first software products (SaaS platforms, internal tools, vertical apps). The common thread is that AI is the core architecture in everything we build — not a feature bolted on afterward. If you have a workflow to automate or a product to build, we can help with either.
Traditional software is built around manual workflows, then AI is added as a feature — usually a chatbot or a search bar. AI-first means we design the AI layer before anything else: what should the model handle, what data does it need, how does it interact with the rest of the system? The result is software where AI handles the heavy lifting on every core workflow, not just one bolt-on feature. It's a fundamentally different architecture, and it results in software that gets smarter as it's used.
Automation tools like Zapier move data between apps — they don't reason, adapt, or make decisions. Chatbots respond to questions. Our agent systems research context, evaluate options, write original content, coordinate across multiple tools, and take action autonomously. Think of the difference between an automation rule and an employee who uses judgment.
Agent systems: 3–5 weeks in production. Simple single-agent integrations can be live in 2 weeks. AI-first software products: 4–8 weeks for an MVP, depending on scope. We give you a precise timeline in the scoped proposal after the discovery call — we never commit before we understand what we're building.
Agent system builds start from $8,000. Most complete agent systems are in the $10,000–$15,000 range. AI-first software MVPs typically start from $12,000 depending on scope and integrations. All engagements are fixed-price — no hourly billing. Monthly retainers for ongoing evolution start at $2,500/month. All pricing is confirmed in the scoped proposal after the discovery call.
Yes — some of our best-fit engagements are early-stage products where the founding team wants to build AI-first from the start rather than retrofit later. The earlier you bring AI into the architecture, the better the outcome. That said, we need a clear scope and a realistic budget conversation — we don't do exploratory builds on equity alone.
Yes. We're happy to sign a mutual NDA before the discovery call. Most of our case studies are anonymised for this reason. If you have sensitive processes or data requirements, let us know before we start.

Book a discovery call

Tell us what you want to build or automate.

Every engagement starts with a free 30-minute call. We'll understand your problem, tell you honestly whether an agent system or an AI-first build is the right approach, and outline what it would involve. No obligation.

Duration30-minute call
ResponseWithin 24 hours
CostFree, no obligation

We've turned down projects we weren't confident we could deliver excellently. If we're not the right fit, we'll tell you on the call and point you toward who is.