Production-ready GenAI systems — built for your enterprise data, workflows, and compliance requirements. Not demos that never ship.
Partner the way that fits your program — a managed delivery team or a fixed-cost build.
Dedicated squad on your roadmap, tools, and cadence
Agreed scope, timeline, and price for the outcome
GenAI products and platforms, either engagement model.
Share your development need — we reply within one business day with scope, timing, and whether a managed team or fixed-cost delivery fits best.
Enterprise GenAI delivery partner
200+ Clients worldwide · 350+ Projects shipped
Problems we solve
Generative AI adoption stalls when use cases, integration, accuracy, or compliance are unclear. We help you move from pilots to production.
Outcome: A prioritized roadmap tied to ROI — not a scattershot AI wish list.
How Spectrum helps
Outcome: GenAI embedded in CRM, ERP, SaaS, and internal apps via API-first design.
How Spectrum helps
Outcome: Reliable, explainable responses with validation and monitoring.
How Spectrum helps
Outcome: Secure deployments aligned with your data residency and policy requirements.
How Spectrum helps
What we do
Copilots, agents, RAG, and custom apps — scoped for workflow impact, not novelty.
Inputs
GenAI layer
Grounded & governed
Outputs
Your data
RAG & fine-tune
Your stack
API-first fit
Guardrails
Human review
Production
Monitor & improve
Help teams work faster
Knowledge and tasks in one place.
Multi-step execution
Less manual orchestration.
Models that fit your domain
Better relevance and control.
Answers from trusted sources
Staff and customers get facts.
Support at scale
24/7 coverage with handoff.
Purpose-built products
Content, docs, and decisions automated.
Not sure which to start with? We recommend one high-impact use case on the first call.
Share your requirementsHow we work
A structured path from discovery and data readiness to production deployment and continuous improvement.
Map goals, workflows, and constraints to define the right GenAI strategy and first release.
Structure, clean, and govern enterprise data for accurate, context-aware model behavior.
Design scalable solutions around security, integration, latency, and long-term maintainability.
Develop models, RAG pipelines, copilots, and integrations inside your environment.
Validate accuracy, performance, and workflow fit before production rollout.
Track quality, cost, and drift — retrain and refine as your business evolves.
Our track record
Measurable delivery for enterprises worldwide — skilled AI engineers, certified processes, and programs shipped at scale.
100+
Skilled AI engineers
200+
Clients worldwide
350+
AI & data programs
ISO 9001:2015
Quality certified
ISO 27001
Security certified
10+
Years in delivery
6
Global delivery hubs
Proof in production
Real programs — from conversational AI and voice assistants to enterprise copilots — shipped with measurable outcomes.
EnterpriseDeployed LLM agents and workflow orchestration across CRM, ERP, and documents — with guardrails, audit trails, and human review where decisions matter.
Result
40%+ Manual task reduction
Cloud ServicesPartners analyze customer workload cloud readiness and receive AI-driven migration step plans — assessment architecture built for scale.
Outcome
Weeks → Days per assessment
FintechWe built a payment layer on top of existing infrastructure using a strangler-fig approach — SEPA instant processing, payment orchestration, and DORA compliance during a phased enterprise delivery.
Outcome
40% Faster time-to-market
Media & BroadcastPlatform for broadcasters and media companies to deliver monetized video — capturing, standardizing, synchronizing, and routing data to client endpoints at scale.
Outcome
Real-time Data routing
Professional ServicesProduction RAG copilot over contracts, policies, and CRM notes — with citation-backed answers, role-based access, and usage governance for thousands of staff.
Outcome
10 wks Pilot to production
Technical depth
LLM engineering, RAG, agents, and MLOps — delivered by architects who have shipped enterprise AI before.
Model selection, fine-tuning, prompt systems, latency tuning, and cost control for production workloads.
Vector search, chunking strategies, and citation-ready answers from your knowledge bases.
Assistants for support, sales, HR, and operations — with escalation and human-in-the-loop paths.
Agents that coordinate tools, APIs, and workflows with defined boundaries and approvals.
Monitoring, evaluation, versioning, and governance across the full GenAI lifecycle.
Pipelines, embeddings, and quality checks that keep AI inputs reliable and accessible.
Model landscape
We are model-agnostic — choosing the right stack for accuracy, cost, privacy, and deployment constraints.
Technology
Orchestration, vector stores, cloud AI services, and MLOps tooling — selected for your environment.
Industries
Tailored use cases for regulated and high-volume environments.
Why Spectrum
Production delivery, enterprise integration, and governance — not slide-deck AI.
200+Happy Clients
From discovery and architecture through deployment, integration, and post-launch optimization — one accountable partner.
Every solution connects to CRM, ERP, knowledge bases, and workflows you already operate.
Access controls, private deployment options, and audit-friendly practices from the first sprint.
Monitoring, guardrails, evals, and a path to retraining so quality holds after go-live.
Scale with a dedicated squad or lock scope and price for a defined GenAI program.
Start smart
Most teams begin with a short working session, then move to a focused pilot or production rollout — managed team or fixed-cost, your choice at every step.
We map one high-value use case, check data readiness, and agree on scope before any build spend.
You leave with
A working build on real sample data — enough to judge accuracy, UX, and business fit.
You leave with
Integrate with your CRM, ERP, or internal tools — with guardrails, monitoring, and handover.
You leave with
Same two models throughout: a managed delivery squad or a fixed-cost milestone plan.
Questions
We start by mapping workflows where manual effort, slow decisions, or knowledge gaps create cost. If GenAI can measurably improve those areas, we define a pilot before larger spend.
Common wins include support automation, internal knowledge access, document processing, content generation, reporting, and decision support — especially where speed and consistency matter.
Yes. We integrate via APIs and workflow tools so AI operates inside your current ecosystem rather than forcing a rip-and-replace.
RAG over approved sources, validation rules, guardrails, evaluation sets, and human review for sensitive outputs — tuned to your domain over time.
We deploy with private environments, encryption, role-based access, and governance aligned to your security and compliance requirements.
No. Most clients start with our team handling strategy, build, deployment, and optimization — then transfer knowledge to internal staff as you scale.
Copilots assist inside workflows. Agents execute multi-step tasks across systems. Chatbots focus on conversational support — we help you pick the right pattern per use case.
Yes. Systems are tailored to your data, policies, terminology, and approval paths so outputs are relevant and usable in production.
Build GenAI with Spectrum
Copilots, RAG assistants, and custom LLM apps — grounded in your data with guardrails and enterprise integration. Managed team or fixed-cost delivery.
Prefer to validate first?
Explore an AI proof of concept
