AI Services Company
Turn AI pilots into production systems that compound.
Redefine delivers end-to-end AI consulting, development, and agentic solutions for enterprise and mid-market teams that need working AI, not slide decks.
48
AI Projects Delivered
120+
Enterprise Brands Served
10
Days to First Pilot
AI Service Hub
Where your AI journey actually lives
Five practice areas and twenty downstream pages, mapped end to end. Find the right entry point for your team and follow the thread from strategy to delivery.
Featured Hub
AI Services Hub
The master directory for everything your team needs to move from idea to production. Consulting that frames the right question, development that ships the right model, strategy that aligns the executive room, and governance that keeps regulators and finance comfortable. Built for teams that want one front door instead of eight vendors.
8 ServicesProduction ReadyGovernance Baked In
AI ConsultingAI DevelopmentEnterprise AIGenerative AIAI Strategy
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Solutions
AI Solutions Hub
Custom chatbots and language model powered applications built for scale.
ChatbotsLanguage ModelsCustom Software
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Agentic
Agentic AI Hub
Multi agent orchestration, retrieval augmented generation, and legacy chatbot migration.
AI AgentsRetrieval AugmentedMulti Agent
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Governance
AI Delivery and Governance Hub
Readiness assessments, discovery workshops, risk audits, and return on investment frameworks.
ReadinessDiscoveryReturn on Investment
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Teams
AI Teams and Outsourcing Hub
Staff augmentation, dedicated development teams, and engineers you can hire by the month.
Staff AugmentationDedicated TeamsHire Engineers
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All Pages by Cluster
Every page in the AI cluster, grouped by practice
Related Practices
Sibling capabilities that pair with AI
Before and After
Most AI projects stall. Yours will not.
Pilot fatigue
Teams run three to five AI pilots that never graduate to production. Momentum dies waiting for an enterprise security review.
Vendor lock on generic models
Off-the-shelf large language model wrappers deliver mediocre results because they know nothing about your domain, data, or customers.
Hidden data debt
AI projects fail when the underlying data pipelines, schemas, and quality are never assessed before the build starts.
No governance, then a scandal
Teams ship fast, governance comes later. Then a hallucinated response creates a legal or brand crisis that freezes the program.
Overbuilding for zero usage
Engineers spend six months building an AI platform no one asked for while the highest-value use case sits on a whiteboard.
No measurable return on investment
Twelve months in, no one can answer whether the AI program is delivering value. Budget gets cut in the next review cycle.
What You Get
Full-stack AI delivery. Nothing outsourced.
Signature Capability
Pilot-to-production delivery framework
Redefine's delivery framework takes your highest-value AI use case from a signed brief to a live, monitored production system in a defined sprint cycle. Discovery, data audit, architecture design, model selection, integration, governance, and monitoring are handled end-to-end by a single embedded team.
Agentic AI systems
Design and build multi-agent architectures that execute complex workflows, route tasks autonomously, and escalate to humans only when necessary.
- Retrieval-augmented generation pipelines
- Tool-use orchestration
- Human-in-the-loop controls
- Observability and tracing
AI governance and risk
Risk-scoring frameworks, responsible AI policies, audit logging, and compliance alignment for regulated industries from day one of every engagement.
Explore AI Governance ConsultingModel fine-tuning and retrieval-augmented generation
Retrieval-augmented generation and fine-tuning pipelines grounded on your proprietary knowledge base, product catalog, or operational data.
Explore AI Development ServicesDedicated AI teams
Staff augmentation, dedicated engineers, and embedded AI leadership for organizations that need ongoing AI capability rather than a single project.
Explore AI TeamsReturn on Investment Calculator
What does waiting cost you per quarter?
5 hours40 hours200 hours
$30$75$200
20%60%90%
Estimates are illustrative and based on typical automation rates for enterprise AI use cases. Actual results vary by use case and data quality.
Annual hours reclaimed
1,248
hours freed from repetitive work per year
Annual cost savings
$93,600
in recaptured labor value per year
Quarterly cost of inaction
$23,400
every quarter you delay your AI program
Client Proof
Results that belong to your operation.
Case Study
The business
CCTV Security Pros, a global security camera distributor scaling digital commerce across multiple markets and marketing channels.
The problem
Marketing campaigns across Google Ads, email, and paid social were disconnected. Attribution data was unreliable, making it impossible to allocate budget efficiently or optimize for revenue rather than clicks.
The solution
A unified multi-channel marketing intelligence stack was implemented with GA4 attribution, automated campaign optimization, and consolidated customer and order data feeding a single reporting layer for decisions in real time.
0
million in scaled revenue
0
marketing channels unified
CCTV Security Pros: Multi-channel digital commerce
How We Compare
Why mid-market teams choose Redefine over generic AI vendors.
| Criterion | Typical AI Vendor | Redefine |
|---|---|---|
| Scoping approach | Generic proposal | Use-case scored roadmap |
| Data readiness check | Skipped or add-on | Standard in every engagement |
| Governance framework | Post-launch bolt-on | Built into architecture |
| Delivery timeline to production | 6 to 12 months | Pilot in 10 days |
| Return on investment tracking | Ad hoc reporting | Key performance indicator dashboard from Sprint 1 |
| Agentic AI capability | Emerging offering | Production-grade multi-agent systems |
Comparing based on publicly described offerings from typical AI consultancies. Actual results vary by project scope and team maturity.
AI Delivery Architecture
A stack designed for enterprise production.
Click any layer to see what we build and maintain inside it.
Layer 1: Data & Infrastructure
Pipelines, vector stores, embedding models, data quality
Layer 2: Model Selection and Tuning
Large language model selection, fine-tuning, retrieval-augmented generation architecture, evaluations
Layer 3: Agent Orchestration
Multi-agent routing, tool calling, memory, human-in-the-loop
Layer 4: Governance and Monitoring
Audit logs, risk scoring, drift detection, key performance indicator dashboards
Layer 1: Data Infrastructure
Clean data in, reliable AI out
- Ingestion pipelines from structured and unstructured sources
- Vector database design and embedding model selection
- Data quality scoring and readiness gates before model build
- Chunking strategies and metadata schema for retrieval accuracy
sources: CRM, ERP, support tickets, product catalog
quality_score: 87 / 100
gaps: ["order history <6 months", "missing taxonomy"]
readiness_verdict: "Proceed to retrieval-augmented generation build"
Common Questions
Questions teams ask before starting
The first working pilot typically takes 10 to 15 business days from a signed brief. This covers data readiness audit, model selection, basic retrieval-augmented generation or fine-tuning pipeline, and a testable output. Full production deployment with monitoring and governance takes 6 to 10 weeks depending on integration complexity and the number of systems the AI needs to connect to.
No. Every engagement starts with a data readiness assessment that tells you exactly what you have, what gaps exist, and what can be fixed quickly versus what requires a longer data engineering effort. Some use cases can move forward immediately with existing data. Others need a short remediation sprint before the AI build can begin. You always know the situation before any model work starts.
Redefine can operate as a staff augmentation layer to your existing team, a delivery partner for a specific use case your internal team does not have capacity for, or a governance and quality review function over work already in flight. You do not need to replace what you have. We scope based on the specific gap in your delivery capacity or quality.
Governance is not an add-on. Risk scoring, audit logging, confidence thresholds, and human-in-the-loop escalation paths are defined during architecture design, before any model is deployed. For regulated industries, we conduct an AI governance and risk assessment as a standalone deliverable that maps your AI use cases against applicable regulations and internal risk tolerance.
A traditional AI consultant gives you a strategy document. Redefine gives you working software. Every engagement ends with a production system, not a slide deck. Consulting, development, integration, governance, and managed operations are delivered by the same embedded team so nothing gets lost between strategy and implementation.
Projects are scoped before work starts. Every engagement receives a line-by-line proposal with clear deliverables and pricing before any commitment is made. Discovery workshops and readiness assessments are available as standalone fixed-fee engagements. Ongoing managed services and staff augmentation are priced on a monthly retainer basis. Submit your brief and you receive a scoped proposal within 3 business days.
Start Your AI Project
Get a scoped AI proposal in 3 business days.
Tell us what your team is doing manually that a system should handle. We will scope the right AI approach and return a line-by-line proposal with no commitment required.
AI Readiness Report
Data quality score, gap analysis, use case priority matrix
Architecture Blueprint
Model selection recommendation, data pipeline design, integration map
Scoped Proposal
Line-by-line deliverables, timeline, and fixed pricing before commitment
Call within 48 hours · Proposal in 3 days · Sprint 1 within 1 week of sign-off
48 hour response
3-day proposal
48+ projects
You own the code
Ready to Build
AI that compounds. Starting with one scoped sprint.
Submit a brief and receive a line-by-line scoped proposal within 3 business days. No commitment. No pitch.
No commitment. No pitch. Just a scoped proposal in 3 days.
