AISD is an AI-native software development company that builds production AI for mid-market and enterprise teams. Three core services: AI Modernization (embedding AI into existing products — copilots, intelligent search, predictive analytics), AI Agents (autonomous workflows for support, document processing, sales outreach), and AI Workflow Automation (n8n, Zapier, Make, Clay).

How is AISD different from a typical software development agency?

Three differences. First, every AISD engineer is senior — minimum 5 years building production software, with shipped AI features. Second, we publish hourly engagement bands and project ranges so you know roughly what an engagement costs before the first call. Third, we take fewer concurrent projects so a partner stays close to delivery.

How long does it take to build an AI MVP?

Most AI MVPs at AISD ship a usable version in 4–8 weeks. Week 1 is a discovery sprint. Weeks 2–6 are the build, with weekly demos and a working version by week 4. Weeks 7–8 harden, document, and hand off.

What does an AI MVP cost?

AISD AI MVPs typically range $45,000–$120,000 depending on scope. Drivers: number of model integrations, complexity of retrieval/data layer, custom UI surface area, and compliance requirements. We publish indicative bands on the pricing page so buyers can budget before the first call.

How do you ensure AI features are reliable in production?

Five layers: an offline eval harness with golden test sets run on every PR; confidence thresholds and structured-output validation that gate downstream side effects; runtime observability — every model call logged with inputs, outputs, latency, cost; circuit breakers and deterministic fallbacks for every model dependency; and a weekly review ritual where prompt regressions get caught before they become incidents.

How long does it take to build a production AI agent?

Working prototype: 2 weeks. Production-grade agent (with eval harness, guardrails, observability, and a runbook): 6–10 weeks. The prototype-to-production gap is where most projects fail — the prototype handles the happy path; production has to handle the long tail.

What does it cost to build an AI agent?

A production AI agent at AISD typically costs $40,000–$150,000 depending on complexity. Drivers: number of integrated systems, evaluation rigor required, compliance overhead, and ongoing operational scope. Prototypes alone are cheaper ($10k–$25k) but rarely worth it without a path to production.

How does pricing work — fixed-price, T&M, or retainer?

All three. Fixed-price for AI MVPs and agent builds where scope is well-defined after a discovery sprint. Time-and-materials for staff augmentation, billed monthly with a not-to-exceed ceiling. Retainer for ongoing optimization, eval-harness operations, and managed AI services — flat monthly fee for a defined scope of capacity.

Compare . AI development

AISD vs. Tribe AI

Tribe AI is a marketplace that connects companies with vetted AI/ML freelancers. AISD is an AI agency that builds and ships production systems as a coordinated team. Different models, different strengths.

Updated . 2026-05-02 . 5 min read

Side-by-side

The comparison

Factor	AISD	Tribe AI
Model	Full-service AI agency. We scope, design, build, and hand off production systems. You get a team, not a contractor	Freelancer marketplace. Tribe matches you with vetted AI/ML freelancers. You manage the project
Team composition	Senior-only engineers working as a coordinated squad. Shared context, shared codebase, shared accountability	Individual freelancers or small groups assembled per project. Each works independently unless you orchestrate
Speed to production	Working agent in 14 days, MVP in 6 weeks. Hard timelines in every proposal	Depends on freelancer availability and your project management. Typical ramp: 2-4 weeks before productive output
Pricing	Public pricing. Discovery sprints from $8K. MVPs from $50K. Staff aug from $75/hr	Freelancer rates vary. Typical senior AI/ML freelancer: $150-300/hr. Tribe adds a margin on top
Accountability	Single point of accountability. We own the outcome, not just the hours. Fixed-price options available	You own the outcome. Tribe provides matching and vetting but project delivery is between you and the freelancer
Scope	End-to-end: architecture, implementation, eval harness, deployment, runbook, handoff	Typically scoped to specific tasks or roles. Integration and system design is on you
Best for	Teams that want to ship a production AI system fast without building an internal AI team	Teams with strong technical leadership that need to fill specific skill gaps with senior freelancers

The honest take

When Tribe AI is the better choice

If you have a strong technical lead who can architect the system and manage individual contributors, Tribe gives you access to a deep pool of AI/ML specialists. You get flexibility to scale up and down, and you pick the exact skill profile you need.

Tribe also works well for research-heavy projects where you need a PhD-level specialist for a few months, not a full build team.

When AISD is the better choice

If you need a production AI system shipped fast and you don't have an internal AI team to manage freelancers, AISD's model is purpose-built for that. We own the architecture, the delivery, and the handoff. One team, one timeline, one invoice.

AISD is also a better fit when the problem spans multiple disciplines (backend, infra, ML, product) and you need a team that coordinates across all of them.

AISD vs. Tribe AI

The comparison

When Tribe AI is the better choice

When AISD is the better choice

See if AISD is the right fit.