Most firms staff blind.
You won't.
Anchor matches every open role and client request to the best person — on your bench, rolling off soon, or out in the market — and shows the margin impact before you commit.
Right person.·Right project.·Right margin.
Two messy sides. No good way to match them.
Staffing a service firm means matching a wide, shifting demand to a wide, scattered supply — then living with the financial consequences you never saw coming.
- Open roles on live projects
- Incoming client requests
- RFPs & new opportunities
- People on the bench
- Rolling off soon
- External pipeline & market
Both sides are structured, unstructured and constantly changing. And the one axis that decides profitability — margin and bench cost — is the one no tool scores. That's staffing blind.
One decision. Fit and financials, side by side.
Costed matching
Every candidate ranked by fit and margin impact, in the same view.
Scenarios, not verdicts
“This one lifts margin, that one cuts bench cost.” You weigh the trade-offs and decide.
Explainable
See the evidence, the score breakdown and the constraints behind every recommendation.
Sharper over time
Every decision and project outcome calibrates the model to your firm.
From scattered data to a costed decision.
Bring both sides together
Demand from open roles, client requests and RFPs; supply from your bench, upcoming roll-offs and the external pipeline. Anchor reads HRIS, ATS, CV pools, CRM, project & timesheet, ERP and rate cards — structured and unstructured alike.
Anchor builds the picture
A capability graph across your whole talent pool — internal and external — plus a margin model of cost, rate and bench, kept current with a time-aware memory of decisions and outcomes.
You get costed scenarios
Ranked assignment options with margin, bench and risk impact, the reasoning behind each, and a final call that stays with your managers.
Senior Java Engineer · 3-month assignment · Frankfurt
| Candidate | Skill fit | Margin impact | Bench impact |
|---|---|---|---|
AYAyşe Y. Senior Backend |
94% |
+0.8% | −€4.2k |
MKMehmet K. Backend / Spring |
81% |
+3.1% | −€11.8k |
DADeniz A. Full-stack · rolling off |
76% |
−1.4% | €0 |
RTRıza T. External · pipeline |
88% |
+2.2% | new hire |
Illustrative interface with sample data.
Four surfaces, one source of truth.
Staffing Cockpit
Candidate pools for open roles, bench and live projects — with skill fit, availability, margin impact and risk in one view.
CFO / Delivery Cockpit
Profitability index, bench exposure, utilization and what-if scenario comparison across team compositions.
RFP Studio
Read an incoming RFP, propose a staffed team and generate a grounded first-draft response.
Explainability View
Evidence trail, retrieval sources, score breakdown, policy outcome and override history for every recommendation.
5 yrs Spring Boot across 3 banking projects · 2 client commendations · certified AWS Solutions Architect.
Currently on bench at full cost. Assigning to a billable role converts dead cost into margin from week one.
Notice period: none · Client seniority band: met · Location/rate policy: within range.
Illustrative interface with sample data.
Everyone else answers “who fits?” Anchor answers “who fits and improves the P&L?”
This isn't a feature competitors can bolt on. Their platforms are built on an HR data layer — the finance layer was never in the foundation. Putting matching and margin in one optimization model is a choice we made from day one.
| Capability | Anchor | Talent intelligence platforms | HCM suites |
|---|---|---|---|
| ★ Profitability-aware matching | Yes | No | No |
| ★ Bench-cost simulation | Yes | No | No |
| ★ Margin impact scoring | Yes | No | No |
| ★ Financial scenario modeling | Yes | No | Partial |
| ★ GenAI RFP generation | Yes | No | No |
| Skill graph & semantic matching | Yes | Yes | Yes |
| Service-firm vertical focus | Yes | No | No |
| Mid-market pricing (50–5,000) | Yes | No | Partial |
| GDPR + KVKK federated learning | Yes | No | Partial |
Decision support. You stay in control.
Anchor never auto-assigns. It recommends, explains, and records every override to learn from it — so the system earns trust before it earns autonomy.
Human-in-the-loop by default
Recommendations and scenarios — the final call is always a manager's.
Privacy by design
GDPR & KVKK, multi-tenant isolation, federated learning and differential privacy — your data strengthens your model without leaking.
Audit-ready
Every recommendation carries its evidence and its full decision trail.
Built for firms that run on project margins.
IT services, software, consulting and outsourcing teams from 50 to 5,000 people — the ones that feel every day of bench.
We made these calls at scale. Now we're building the tool we wished we had.
Anchor is built by a team that ran staffing, delivery and P&L decisions inside service organizations at scale. R&D-backed, with a patent-pending architecture that combines capability modeling and financial simulation.
Be among the first teams to staff by margin.
We're onboarding a small group of design-partner firms before launch. Tell us about your team and we'll be in touch.
Request early accessQuestions teams ask us.
No. Anchor is an intelligence layer that integrates with the systems you already run, via API. It reads from them and gives you costed decisions — it doesn't replace your system of record.
No. Anchor recommends and explains; your managers decide. Every override is recorded and feeds back into the model, so the system improves with your judgement rather than overriding it.
Multi-tenant isolation, federated learning and differential privacy, GDPR and KVKK compliant by design. Your raw data never trains another tenant's model directly.
HRIS, ATS, CRM, project & timesheet, ERP and rate-card sources — API-first, with connector coverage rolled out in phases alongside our design partners.
We're targeting 75%+ match accuracy, validated against real historical assignments with controlled A/B tests, before moving from suggestion to higher-trust modes. Until then, Anchor runs in recommend-and-explain mode.
Yes. Anchor is a modular SaaS designed for 50–5,000-person firms — not six-figure enterprise contracts with 12-month rollouts.