Build and run agents without reinventing the wheel
Nearly two-thirds of enterprises have experimented with AI agents, yet fewer than 10% have successfully scaled them to deliver tangible business value. We help you close that gap with a proven platform.
Democratize agent development
No more vibe-coded AI initiatives that engineers then need to make production-ready. With the Brighting platform, any team can self-serve to build compliant agents, with governance, security, identity management, tooling, and observability automatically inherited at runtime.
User-friendly agent portal
It's easy for teams to discover and use agents, with access governed by role-based permissions. The platform even acts as an MCP tool gateway with all APIs and internal services available through one shared catalog.
Never locked into one model or region
You get automatic failover and model-tier routing across LLM providers and regions, with centralized rate limiting and response caching to keep things fast under load.
See, manage, and control performance as AI scales
Scaling doesn't mean losing track of what's running, how well it's performing, or what it costs. You have one, role-scoped control tower for all agents, making it easy to monitor and report on everything that matters.
No invoice or audit surprises.
Track cost, usage, and quality across every agent and team, with live alerting.
Catch drift before it costs you.
Agent output quality is benchmarked so regressions don't reach agents in production. This is especially important around model upgrades.
Manage it yourself, or hand it to us
Once you're live, you can manage it in-house, or have us handle ongoing monitoring, incident response, and updates.
Run it in-house
Your own team owns and operates the platform, with full control.
Managed by Brighting
We handle ongoing monitoring, incident response, and updates for you.
Build the runway first
How to scale AI agents without losing control — a strategic guide for CTOs, CIOs and AI leads navigating the journey from AI pilots to enterprise-scale deployment.
- Why AI scaling efforts stall — and why the agents are almost never the cause
- What a properly built agentic platform looks like, drawn from real deployments
- How to assess readiness before committing to a build
- Patterns from our work with HEMA and ASICS
Why enterprise teams choose Brighting
Build it yourself and you miss out on know-how and economies of scale. SaaS options lock you into their roadmap, pricing, and infrastructure. Large consultancies bring a bloated team, a lengthy timeline, and a bill to match. With Brighting, you get the expertise without the trade-offs.
| Build it yourself | SaaS platform | Large consultancy | Brighting | |
|---|---|---|---|---|
| Own infrastructure & source code | ✓ | ✕ | ✕ | ✓ |
| Runs in own cloud, data never leaves | ✓ | ✕ | ~ | ✓ |
| Live in about 2 weeks | ✕ | ✓ | ✕ | ✓ |
| No bloated team or lengthy timeline | ~ | ✓ | ✕ | ✓ |
| Senior engineering expertise built in | ✕ | ✕ | ✓ | ✓ |
Zero vendor lock-in
Our platform deploys in your own environment, so you own the infrastructure. You even get the source code with a perpetual license.
Fast and flexible
You're up and running in 2 weeks. Incorporate your own policies, processes, identity provider, integrations, roles, and tools.
Cost-effective
An elite team of senior engineers gets you started, so you're not paying for a small army of consultants. Every agent you deploy then boosts your ROI.
Certified AWS partner, trusted by enterprise teams
Brighting is an AWS Advanced Tier Partner and holds the AWS Retail Competency badge.
“Other agentic platforms we reviewed came with nice presentations, but when we dug in there was no substance. With Brighting, we could see the real expertise and architectural quality.”
Major Dutch retailerWho we help, and how
We work with organizations that know AI matters and are being pushed by the board or the business to deploy faster. The teams tasked with making that happen are often small, still learning themselves, and carrying the risk if something goes wrong. Brighting gives you a head start — and a safe way to enable AI adoption.
AI Lead
Our agentic AI platform makes it easy to scale fast when you're under pressure — while ensuring robust controls. You can spend your budget on new use cases instead of reinventing infrastructure.
CTO & CIO
When every team sets up its own agent access and monitoring, no one has a full picture of what's running or how well. Our platform connects to your existing IAM system and gives you one clear view across every agent — so you always know what's happening.
CISO
More pilots mean more shadow AI and uncontrolled usage. We give you a way to enforce AI security policies automatically, at scale. So the business can reap AI benefits without the risks.
Finance
Untracked agents mean surprise cost spikes. Get clear cost visibility and allocation by team and agent, so the enterprise can scale AI without large, unexplainable bills.
Agentic AI platform FAQs
An agentic AI platform is the shared infrastructure layer — governance, identity, tooling, and observability — that every AI agent in your organization runs on. Without one, every team rebuilds the same foundation from scratch, which is a key reason why most AI agent pilots stall before reaching production.
Most SaaS platforms host your agents, data, and control plane on their infrastructure, under their subscription. Brighting's platform deploys inside your own cloud account, so there's no third-party vendor sitting between your agents and your data. Plus, your agents can come from anywhere; you don't have to host them in the same environment.
No. You own the infrastructure and get a perpetual license to the source code. There's no ongoing subscription to renegotiate and no external provider controlling access to your enterprise's agents.
Because the platform runs entirely inside your existing cloud account, your agents inherit the same policies, security controls, and data residency you already have, rather than adding a new third-party processor — and a new vendor's certifications — into scope for GDPR, the EU AI Act, or internal audits.
The platform is built cloud-native and deploys as Terraform infrastructure-as-code into your account. It runs on AWS today, with Azure support coming soon. If your organization already runs primarily on one cloud, that's what makes a 2-week deployment possible.
The platform is framework-agnostic. It supports low-code agents (built using tools like Glean), custom-built agents (on frameworks like Strands, LangGraph, Haystack, LangChain, CrewAI, or bespoke orchestration), and SaaS agents from third-party providers. Agents can use any LLM — you're never locked into one model or provider. Model-tier routing is matched to task complexity, cost-optimized by default, with semantic caching to reduce token spend.
No. A CoE that tries to build and approve every agent itself becomes a bottleneck; one that steps back entirely loses all visibility. The platform gives you the middle ground: standards and guardrails are set centrally, while teams self-serve to build and ship compliant agents.
Rather than banning agents built outside a central team, the platform gives every agent the same inherited identity, governance, and guardrails automatically. Shadow AI becomes governed AI, not a ban you have to enforce.
Most teams can start deploying agents on their platform instance within 2–4 weeks. After that, you can run the platform with your own team or hand ongoing monitoring, incident response, and updates to Brighting as a managed service.
Ready to move fast with AI without losing control?
Once people see how governance, access control, infrastructure, and observability work in the Brighting platform, their anxiety around scaling AI disappears. Contact us to discuss how we can address your scaling challenges.